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Unique opportunity to join this hugely successful prop trading firm as they scale significantly, building out a brand-new central trading team.

With major investment in GPUs and compute infrastructure, the aim is to build from scratch a best-in-class platform, redefining how alpha is generated. To do this, they’re looking for exceptional HPC/Distributed Systems Engineers to sit within a pod-like structure – but with much more shared capital, strategic influence and collaboration across a centralised book.

Alongside the infrastructure investment, what makes this opportunity especially interesting is the level of commitment behind it:

• Greenfield environment with the opportunity to build the research stack from scratch
• Strong autonomy and ability to shape direction from an early stage
• Deep learning-first philosophy across research and modelling

Experience in the following is ideal:

• Distributed training (e.g. XGBoost via Ray)
• GPU-heavy workloads
• MapReduce-style systems

You’ll be expected to have a strong skills background in:

• Ray, Spark, Dask
• Databricks, Anyscale, Cloudera, or Snowflake
• Kubernetes (K8s) for ML clusters
• Strong analytical, independent problem-solving, and communication

Benefits

• Competitive salary and discretionary bonuses
• Generous paid vacation allowance
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health & wellness expenses
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Unique opportunity to join this hugely successful prop trading firm as they scale significantly, building out a brand-new central trading team.

With major investment in GPUs and compute infrastructure, the aim is to build from scratch a best-in-class platform, redefining how alpha is generated. To do this, they’re looking for exceptional Deep Learning Researchers and Engineers to sit within a pod-like structure – but with much more shared capital, strategic influence and collaboration across a centralised book.

Alongside the infrastructure investment, what makes this opportunity especially interesting is the level of commitment behind it:

• Greenfield environment with the opportunity to build the research stack from scratch
• Strong autonomy and ability to shape direction from an early stage
• Deep learning-first philosophy across research and modelling

This is a non-traditional, non-linear quant setup, where the focus is heavily towards:

• Neural networks
• Transformers
• LLM-driven research
• Multi-modal modelling
• Modern NLP and agentic/autonomous research systems
• LLM fine-tuning, including regression and forecasting applications

Strong preference for the following experience:

• Alpha generators from top-tier firms
• Strong background in:
  • NLP applied to markets
  • Modern deep learning

They are particularly interested in:

• People who think beyond traditional quant frameworks
• Experience at the frontier of ML research — whether from industry, academia or highly independent/self-directed work

Benefits

• Competitive salary and discretionary bonuses
• Generous benefits package including reimbursement for health & wellness expenses, donation matching program, significant paid vacation allowance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Fantastic opportunity to join an industry-leading global market maker, using innovative and cutting-edge technology. This is a key team, working closely with colleagues across the business (traders, PMs, desk-aligned trading assistants) to automate & optimize trade execution and booking. Forget the stuffy world of finance you thought you knew; developers here are tech-driven and truly world-class.

Now looking to add an end-user trading support/SRE in Hong Kong, this role offers the opportunity to:

• Provide crucial first- and second- level support for the front office
• Work in all aspects of user/strategy application support
• Gather requirements and collaborate with engineering teams to ensure delivery of functionality
• Contribute to application deployment, checkout and QA testing
• Partner with back-office teams to resolve issues related to security setups, trade booking, corporate actions, etc.
• Participate in global coverage for system support & start-of-day/intraday health checks

You’ll be expected to be a self-starter who demonstrates a strong sense of ownership, execution and the ability to work and deliver results autonomously.

Requirements

• Hands-on experience supporting Equities trading systems in finance
• Experience with Linux/Unix and KDB/SQL databases
• Scripting language skills, ideally Python and shell
• Sound understanding of trading workflows, with proficiency troubleshooting breaks
• Deep knowledge of FIX protocol and incident management
• Minimum bachelor’s degree in Engineering, Computer Science (or related field)
• Excellent communicator with both technical and non-technical colleagues

Benefits

• Significant salary + bonus + benefits
• Build complex software solutions to solve challenging problems in agile environment
• Work with some of the smartest minds in the industry from a range of backgrounds

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent scope for career growth.

Looking for exceptional engineers with a solid programming background in modern high performance C++ to join a new team focused on building a market data architecture for low-latency trading. All greenfield work, in a small and highly collaborative team, you’ll build robust infrastructure, drive new initiatives and lead projects.

The ideal candidate will have a background in creating scalable and performant tick data platforms to support HFT.

Requirements

• 4+ years’ experience developing low latency / high performance modern C++
• Experience with market data is highly desirable
• Good understanding of Linux internals, kernel bypass and low-level profiling / tuning
• Knowledge of C++ optimisation techniques
• Fantastic communication and teamwork skills, keen to build a strong engineering culture

Desirable

• Scripting skills in Bash or Python
• Project leadership and stakeholder management experience

Benefits

• Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
• Competitive salary + generous benefits
• Professional and personal development
• Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

This is one of the world’s leading algorithmic trading firms, where they recognise what keeps them at the top of their game is the strength of their engineers and the critical code they write. They have one of the most sophisticated distributed compute environments, and this is a fantastic opportunity to be a part of something really exciting.

As a Python Engineer, there are many high-impact areas where you could be working. They use C++ for anything latency-sensitive; and Python for everything else. You’ll collaborate with researchers and engineers to build impactful products using the latest technologies, help tackle new initiatives and streamline every part of the trade cycle.

This role would be perfect for someone who likes to be challenged by those around them and who thrives in a collaborative culture.

Requirements

• Strong Python programming experience is a must; daily use of most recent standards would be ideal
• In-depth knowledge of the Python ecosystem and best practices
• Excellent design, debugging and problem-solving skills
• Knowledge of UNIX operating systems (they use Linux), system/processor performance and network communication
• Experience deploying and maintaining applications, including hands-on experience of managing an application from design phase through to production
• A motivated self-starter, you must also be versatile
• Bachelor’s degree in Computer Science, Computer Engineering (or related)

Benefits

• Market-leading salary + bonuses + generous benefits package
• Truly flat management structure, with no red tape
• Friendly culture where everyone’s ideas are encouraged and celebrated
• Feel valued and be rewarded for your hard work where coding is front and centre

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

World-leading quantitative trading fund / HFT is seeking an elite C++ engineer to join one of their key teams in Singapore.

The successful engineer will play a key role in establishing and expanding the fund’s presence in the APAC region, working directly with algo and operations teams as they look to build upon their success. This role offers exposure to both the technical and business aspects of trading, as well as giving you autonomy over the process of entering new markets.

The impact of this position is huge – the successful candidate will immediately contribute to the bottom line and be deeply involved in the ongoing process of optimizing existing trading markets.

Requirements

• Extensive C++ programming skills
• Proficiency working with UNIX operating systems
• Bachelor’s degree in Computer Science, Engineering or related field
• Ability to describe software design at high and low levels (anywhere between the abstract interface and step-by-step algorithms)
• Fluent English (written and spoken) is essential
• Bonus points if you have worked on the development of market data and order entry systems

Benefits

• Market-leading salary + bonuses + generous benefits package
• Truly flat management structure, with no red tape
• Friendly culture where everyone’s ideas are encouraged and celebrated
• Feel valued and be rewarded for your hard work where coding is front and centre

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

My client is a one-of-a-kind quantitative trading company operating on the cutting edge of technology. The company has risen to prominence in the HFT space in recent years, by leveraging not only the expertise of their talented people, but also state-of-the-art research infrastructure. Trading activities span various platforms worldwide, encompassing both traditional and cryptocurrency markets.

Now seeking a strong developer with modern C++ expertise to join the team, where your focus will be market data and the high standards this demands. Your day-to-day will be varied, including providing connectivity for new exchanges, speeding up market data receiving, optimizing existing connectors and supporting new data types.

You’ll be passionate about working with market data and not afraid of challenging tasks in a dynamic environment. They operate within a truly flat organizational structure, not siloed like other firms. You can work from anywhere in the world, or in one of their fully equipped offices if you prefer.

Requirements:

• Solid experience of modern C++ (C++17/20 onwards)
• Strong understanding of networks and interaction protocols
• Experience handling large volumes of incoming data
• Good knowledge of algorithms/data structures and of Linux system internals
• Performs well in a remote/hybrid team with good communication skills

Nice to have:

• In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency
• Experience in HFT, telecommunication, or game dev

Benefits:

• Complex challenges with fast feedback loops
• Great corporate culture with internal events & commitment to fostering a supportive and empowering environment
• Cutting-edge hardware and technology
• Flexible schedule
• Significant paid days off
• Competitive salary and performance-based bonuses

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a dynamic engineer skilled in C++ on Linux to join one of their growing quant trading teams.

You’ll collaborate extensively with traders and technologists to evolve, improve and maintain all elements of the team’s infrastructure, including execution, signal generation, model building and back testing.

Developers here are highly valued and well-rewarded for hard work; technology is viewed as crucial to the firm’s continued success. The successful C++ Software Engineer will be passionate about development, and enjoy solving difficult technical problems in a fast-paced and energetic environment. In return, you will be exposed to a wide range of interesting and challenging problems involving high performance computing, software design and big data.

Requirements

• 3+ years’ experience in C / C++ development, including low-level and high-level optimization
• Fantastic instincts around performance vs simplicity tradeoffs; engineering for maintainability, extensibility and debuggability
• Solid experience of working on a Linux platform
• Self-starter who can work independently and is able to drive a project from inception through delivery
• Minimum bachelor’s degree in Computer Science/Engineering

Nice to Have

Experience in:

• Python or a willingness to pick it up quickly
• Distributed systems, multithreading and/or operating systems
• Extremely low-latency systems or dealing with exchange market data

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Unique opportunity for a developer skilled in C++ and Python to gain experience in options market-making at a globally successful firm. This role offers the chance to contribute to one of the world’s most powerful trading platforms.

In this role, you will design, build, and optimize core trading infrastructure, including alpha generation and risk management libraries, while ensuring performance, scalability, and reliability in latency-sensitive environments. You will partner with quant researchers and traders to define priorities, identify bottlenecks, and build high-performance C++ components used by trading applications.

You will work on projects that directly impact trading performance from inception through deployment, so you’ll be expected to take real ownership of the assets you are building. The successful candidate will be an outstanding communicator, confident performing in a fast-moving, ever-changing trading environment.

Requirements

• A deep passion for technology, mathematics, and performance optimization
• Strong C++ and Python experience
• Solid knowledge of low-level optimization & high-performance systems design
• Exceptional analytical methods and quantitative skills
• Minimum bachelor’s degree in Computer Science, Mathematics, Statistics from a top-tier university (or equivalent experience)

Desirable

• Experience with any of the following: electronic/algorithmic trading; options markets/derivatives risk management; simulation frameworks, market data systems, or real-time risk infrastructure

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
• Work with the latest technologies on complex problems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

A leading HFT / quantitative trading firm is seeking a senior engineering leader to help shape the future of one of its most successful algorithmic trading businesses.

The group has been operating successfully for over 20 years and is considered one of the firm’s flagship trading teams. Historically, engineering has evolved in a highly entrepreneurial and fast-moving environment, and the team is now looking for a senior leader to modernise engineering practices, platform maturity, and organisational structure while preserving the performance and agility that made the business successful.

This is a high-impact leadership role focused on engineering excellence, scalability, reliability, and long-term technology strategy across a large, established trading platform.

Importantly, this is not a mandate to reinvent the trading side of the business. The existing leadership team has deep domain expertise and has been with the group since inception. The focus here is bringing external perspective, modern engineering standards, and scalable organisational practices into a highly successful but historically under-structured environment.

Key Responsibilities

• Define and drive long-term engineering strategy across the trading platform
• Improve engineering maturity, development workflows, tooling, and operational processes
• Lead initiatives around observability, monitoring, reliability, and production stability
• Drive platform scalability and architectural evolution
• Introduce modern software engineering standards and best practices
• Lead AI-enabled engineering initiatives and workflow automation
• Partner closely with trading, research, and infrastructure leadership
• Mentor and scale a high-performing engineering organisation

Ideal Background

Senior engineering leadership experience within trading, big tech, infrastructure, or high-scale startup environments

• Strong track record leading large engineering organisations and driving technical strategy
• Experience modernising complex or legacy systems at scale
• Deep understanding of distributed systems, reliability, scalability, and operational excellence
• Strong organisational leadership and engineering process mindset
• Experience improving developer productivity, tooling, CI/CD, observability, or platform engineering practices
• Familiarity with modern AI-assisted engineering workflows is highly desirable

The firm is open-minded on industry background and is particularly interested in leaders who can bring mature engineering practices and external perspective into a high-performance trading environment.

Compensation is highly competitive and designed to attract top-tier engineering leadership talent.

Please send your resume to [email protected] for more information

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £250k UK + bonus

Locations: London, New York, Miami, Sydney

Summary

Fantastic opportunity for a strong C++ software engineer to gain experience in options market-making at a globally successful firm. This role offers the opportunity to contribute to one of the world’s most powerful trading platforms.

You will partner with business leaders to understand priorities and create custom software that optimizes performance and efficiency across the firm. The work will be a mix of designing, testing & deploying elegant software, analyzing complex technical problems, and continuously improving performance, functionality and stability of the platform.

They strive to be the most successful investment team in the world, hiring the brightest minds from a range of backgrounds – technology, research, and finance – and providing the tools needed to collaborate. The successful candidate will be willing to become an expert in the options trading space and convert this expertise into next-generation software solutions, collapsing data cardinality where possible.

Requirements

• 5+ years’ professional experience, including distributed systems and multithreaded application design & development
• Solid C++ experience
• Keen proponent of solving open-ended problems with analytical methods
• Ability to work independently and prioritize high-impact projects
• Minimum bachelor’s degree in Computer Science (or related field) from a top-tier university

NB: Please don’t apply if you’re a fresh graduate.

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
• Work with the smartest minds and the latest technologies on complex technical problems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: £250k + bonus

Summary

Python Engineers wanted for a leading market maker to join their fast-paced, dynamic engineering team. This role offers the opportunity to contribute to one of the world’s most powerful trading platforms.

In this role, you will partner with business leaders to define priorities and then create next-generation custom software solutions that optimize performance and efficiency across the firm. The work will be a mix of designing, testing & deploying elegant software, analyzing complex technical problems, and continuously improve performance, functionality and stability of the platform.

The successful candidate will be an outstanding communicator, confident performing in a fast-moving, ever-changing trading environment.

Skills and Experience Required

• A core passion for technology and software development
• Deep-level Python experience
• Keen proponent of solving open-ended problems with analytical methods
• Sound knowledge of SDLC methodologies + Linux systems
• Professional experience working with distributed systems
• Minimum bachelor’s degree in Computer Science (or related field) from a top-tier university

Desirable

Experience with any of the following:

• prop trading/market making; ML techniques & statistical methods; C++, kdb & SQL

NB: Please don’t apply if you’re a fresh graduate.

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
• Work with the latest technologies on complex problems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: £250k + bonus

Summary

C++/Python Engineers wanted for a leading market maker to join their fast-paced, dynamic engineering team. This role offers the opportunity to contribute to one of the world’s most powerful trading platforms.

In this role, you will work closely with the Quant Research team to define priorities and design & create high-performance C++ components used by trading applications. Objectives include: develop, test & deploy pricing & risk-management library for OTC trading, code optimization and identify critical bottlenecks in trading.

You will work on projects from inception through to deployment, so you’ll be expected to take real ownership of the assets you are building. The successful candidate will be an outstanding communicator, confident performing in a fast-moving, ever-changing trading environment.

Skills and Experience Required

• Strong knowledge of low-level optimization
• Deep-level C++ and Python experience
• Exceptional analytical methods and quantitative skills
• Sound experience with derivatives & pricing library design
• Minimum bachelor’s degree in Computer Science, Mathematics, Statistics from a top-tier university

NB: Please don’t apply if you’re a fresh graduate.

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
• Work with the latest technologies on complex problems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k base + bonus

Summary

One of the world’s largest HFT funds is looking for a talented SRE to join their global infrastructure organisation to work on a wide range of exciting and challenging projects.

As a hybrid Systems Engineer/Software Developer, you’ll join the area of the business that manages the firm’s infrastructure. This involves everything from colocation design/implementation, to optimizing exchange connectivity, to building world-class low-latent Wide Area Networks, consistently identifying and pursuing opportunities to enhance operational efficiency. You’ll architect, build and maintain streaming monitoring tooling, configuration management & automation frameworks and undertake comprehensive debugging sessions on low-level performance issues, as well as working on app deployment management and lifecycle, among other responsibilities.

This role would suit an outstanding communicator, someone who can collaborate effectively across globally distributed teams, and is at their best when solving difficult technical problems in a fast-paced and energetic environment.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the role

Join the Core Development team in a senior engineering role focused primarily on trading GUI development. You’ll work in a small, high-impact team with broad exposure across the business, partnering closely with traders on the tools they use day to day while also contributing to wider core development projects.

What You’ll Do

• Build and enhance the trading GUI used by traders in their day-to-day activities
• Work closely with traders to improve usability, workflows, and tooling
• Capture and expose trading activity data from a large number of exchanges to internal users and systems
• Contribute to systems for real-time positions, alerts, and reporting through reconciliation of trades and transfers

Hard Requirements

• Advanced knowledge of Python 3
• Strong experience building desktop GUI applications
• Familiarity with the Qt framework
• Experience working with SQL databases

Skills (in order of priority)

• Python 3
• Desktop GUI development
• Qt
• SQL databases
• Interest in trading / crypto / financial systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Up to £200k + bonus

Summary

One of the largest global HFT funds is looking for a highly proactive engineer with a background in IT operations to join their rapidly expanding crypto division as they help shape the future of the industry.

Primarily responsible for monitoring and supporting trading system applications and exchanges, this role offers you the opportunity to:

• Build and maintain a DevOps toolkit for production trading system (config + process management, deployment, monitoring, data collection, & analysis)
• Interact directly with traders & developers, collaborating on technology changes, managing incidents, and troubleshooting problems
• Handle daily software deployments and configuration changes to a complex, global hardware and software footprint

Unique in their field, this firm combines the lively, positive spirit of a start-up with the stability of a longer-established player.

Requirements

• Minimum 3+ years’ experience in an IT ops role (DevOps, Linux Systems Engineering, Network Engineering, etc.)
• C++ knowledge required
• Fluency in Python and shell scripting
• Degree in Computer Science or a related field (or equivalent work experience)
• Systematic, analytical approach to problem solving

Desirable

• Crypto markets experience
• Familiarity with networking concepts, e.g. routing, multicast, LLDP, VLAN tagging, ethernet

NB: Please don’t apply if you’re a fresh graduate

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Up to £200k + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a dynamic quant developer skilled in Python development to join one of their growing trading teams.

You’ll collaborate extensively with researchers and technologists to evolve, improve and maintain all elements of the team’s infrastructure, including execution, signal generation, model building and backtesting.

Developers here are highly valued and well-rewarded for hard work; technology is viewed as crucial to the firm’s continued success. The successful Python QD will be passionate about software, and enjoy solving difficult technical problems in a fast-paced and energetic environment. In return, you can expect a wide range of interesting and challenging problems involving data extraction, quant development, trading optimization and software design, plus exposure to cool cutting-edge technologies.

Requirements

• Strong Python development experience
• Solid analytical problem-solving skills, including debugging & code comprehension
• Self-starter who can work independently and is able to drive a project from inception through delivery
• Minimum bachelor’s degree in Computer Science (or related)
• Bonus points for trading industry experience and/or C++ skills

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Highly competitive

Leading global prop trading firm seeking a Senior Trading Systems Engineer to join its APAC-based trading technology team. This role sits at the intersection of trading, infrastructure and software development, helping provide smooth support to mission-critical systems for global markets.

Sitting at the heart of the business, you will be responsible for ensuring reliability and performance for a world-class trading ecosystem. This is a fast-paced, technically demanding and highly collaborative role offering significant responsibility and ownership.

This role would suit an engineer with 5+ years’ experience in a trade support or SRE role in a production environment who enjoys solving complex time-sensitive problems in close proximity to live trading.

Requirements

• 5+ years’ experience working in trade support, SRE or related fields
• Bachelor’s degree in STEM or a related/relevant field
• Basic knowledge of networking including TCP/IP, DNS, DHCP and common network troubleshooting tools
• Familiarity with trading platforms & financial markets
• Experience working in a production Kubernetes environment
• Experience with scripting languages (Python, Bash, PowerShell) for automation tasks
• Knowledge of Linux/Unix environments

Responsibilities

• Maintaining the health and availability of a world class trading ecosystem
• Responding to support requests from our traders and software engineers
• Liaising with external trading partners including financial exchanges and clearing firms to resolve technical problems
• Onboarding new trading desks, systems and technologies

Benefits

• Highly competitive compensation
• Direct exposure to major global live trading systems
• High autonomy & an engineering-led culture
• Collaborative, low-ego working environment
• Limitless room to grow and evolve your career

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Highly competitive

Leading global prop trading firm specialising in algorithmic trading strategies and machine learning in a variety of asset classes seeking Python engineers with 5+ years experience to join their quant trading team to build & improve one of the core aspects of the business.

Highly hands-on IC role, working collaboratively alongside quants/traders to create scalable, multi-tiered applications and infrastructure.

A fantastic opportunity to enjoy flexibility, autonomy and explore your intellectual curiosity whilst working on fast-paced, multi-faceted technical challenges in a firm on the forefront of their field.

Requirements

• Bachelors degree in Computer Science or similar field
• 5+ years proven experience coding in Python on large distributed systems
• In-depth knowledge of Linux platforms
• Success having worked with large data sets
• Intellectual curiosity and ability to take ownership of projects where necessary

Benefits

• Highly competitive compensation
• Hybrid working model
• Dress-down office
• Innovative work environment
• Limitless room to grow and evolve your career

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Highly competitive

Leading APAC-based prop trading firm seeking a Quantitative Developer/Software Engineer coding in C++ to join one of their core trading teams. This is a rare opportunity to work on a powerful global trading systems across the full lifecycle of both research & live trading platforms, working closely with QRs to deliver production-grade, low-latency systems.

Sitting at the core of the business, this role offers unique exposure to the full business scope with outsized impact relative to other teams. You will have significant autonomy and visibility, being responsible for systems spanning design, performance optimisation & operational robustness, all built on a modern high-performance trading stack.

Requirements

• Solid academic background in computer science, mathematics or a similar quantitative field (Masters degree is preferred)
• Strong professional experience with data structures, algorithms and programming
• 5+ years of practical experience with modern C++, ideally in a high-performance context. Real-world Python is highly beneficial, as is Rust/any functional language experience, although not required
• Proven knowledge in the design, implementation and deployment of high-performance distributed systems and/or low-latency trading systems is highly advantageous
• Good working knowledge of Linux both as a user and development target
• Strong ownership and self-driven mindset with the ability to manage multiple tasks and prioritise accordingly

Responsibilities

• Designing, implementing, deploying and maintaining a low-latency, high frequency trading platform, from market-data handling to trading strategy framework and components
• Designing, implementing, deploying and maintaining a high performance, massively scalable research platform that integrates seamlessly with internal trading platform
• Designing, implementing and deploying data analysis and systems monitoring tools with a view towards quality control and early error detection

Benefits

• Competitive salary and discretionary bonuses
• Hybrid working model
• 5 weeks’ paid vacation per year
• Innovative work environment
• Significant career progression and exposure to a leading global trading system

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.

Responsibilities

• Ensuring risk models are in a production-ready state by contributing to various parts of development, in particular the productionization
• Improving research tools and models, e.g. backtesting
• Developing APIs for internal and external customers with customized analytics
• Maintaining, improving and extending the scenario engine and risk engine code

Skills & Experience Required

• Minimum 5+ years’ quant software development experience, preferably at a top-tier financial services firm
• Ability to write production-grade (robust and maintainable) Python code
• BS degree or above in Computer Science, Mathematics, or related field
• Previous hands-on experience of (some part of) a model-building pipeline (e.g. risk, alpha, etc.)
• Built large-scale, distributed systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

Responsibilities

• Help build out the data ingestion / query framework to add functionality and improve performance, scalability, robustness and ease of use
• Integrate new sources of pricing data
• Build visualization / UI tools to extend visibility and control of market data systems outside of the DS pod

Skills & Experience Required

• Minimum 5+ years’ experience developing large-scale or low-latency systems, preferably at a top-tier financial services firm
• Experience with market data or trading infrastructure
• BS degree or above in Computer Science, Mathematics, or related field
• Proficiency with these relevant technologies: asyncio, Kafka, time series databases

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

Responsibilities

• Design agentic automation framework in Python on AWS Bedrock
• Decompose Jira workflows into microservices and LLM agents
• Own end-to-end delivery of automation solutions across the business, e.g. Operations, Compliance, Risk
• Build secure, high-performance integrations with core internal systems
• Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models
• Measure and tune agent output quality, latency, and cost
• Mentor junior engineers; drive coding standards, code reviews, CI/CD hygiene

Skills & Experience Required

• 8+ years’ experience of professional software engineering (Python preferred) with at least 3 years’ designing distributed, event-driven systems in AWS
• Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar)
• Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs
• Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption
• Familiarity with financial or regulated environments and related control frameworks, e.g. SOC 2, model governance
• Hands-on with observability stacks (Grafana, Datadog) and CI/CD pipelines

Desirable

• Prior work on KYC / AML automation, sanctions screening, or client onboarding flows
• Experience with event sourcing, domain-driven design, or service-based architecture
• Familiarity with LangChain, Haystack, or other agent frameworks; Infrastructure-as-Code (CDK / Terraform) and/or container orchestration with Kubernetes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.

Responsibilities

• Improve core functionality of the systems, ensuring performance and accuracy
• Integrate new reference data source
• Setup ETLs for ingesting and processing data

Skills & Experience Required               

• Minimum 5+ years’ quant software development experience, preferably at a top-tier financial services firm
• Ability to write production-grade (robust and maintainable) Python code
• BS degree or above in Computer Science, Mathematics, or related field
• Experience with data pipelines
• Ideally familiar with some streaming technology
• Built large-scale, distributed systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: €100-250k

My client is a tech-focused market-maker with groundbreaking success in the high frequency trading space. Seeking a decisive, logical thinker to join their Production Engineering team, who manage the reliability, scalability and performance of the live trading systems – all built in-house.

This role is critical to the firm’s trading activities. Sitting on the trading floor, and working closely with users, your remit covers everything from market access, to strategy evaluation and management, through to performance tuning and trading automation. This is an engineering position – not support – so you’ll set the standards for the production environment.

Here they operate with tight feedback loops and quick development cycles, and you can make a real, direct impact on trading results from day one.

You’ll need to have a user-first approach to problem-solving where you can adapt and choose the right tool based on each problem’s requirements. In return, you’ll enjoy a relaxed culture working alongside some of the best professionals in the industry from over 40 countries.

Requirements

• Experience managing day-to-day operations of software and hardware infrastructure
• Solid experience with Unix/Linux systems
• The ability to automate tasks using Python
• Strong design, debugging, and problem-solving skills
• Experience with relational databases – they use PostgreSQL, but welcome experience with any other database
• Collaborative communication skills; not afraid to challenge or defend a strategy

Rewards and Incentives 

• Incredible salary + profit-sharing structure
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Outstanding benefits package
• Relocation assistance + visa sponsorship provided where necessary

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Total Comp: 250-600k

Fantastic opportunity for a modern C++ Developer (C++17/20) to join this crypto trading and investments firm. They leverage cutting-edge technology to trade with extreme precision and speed, essential to evolve in today’s fast-changing markets.

Looking to hire a talented engineer to focus on building ultra-low-latency, high-performance infrastructure, optimizing execution speed, and ensuring robust system reliability. You’ll collaborate with quant researchers, traders and infrastructure engineers to improve system performance, ensuring systems are robust and fault-tolerant for continuous trading operations.

The successful candidate will have deep expertise in modern C++, systems programming, and high-performance computing.

Requirements:

• Outstanding programming skills in C++, with a strong grasp of modern C++(17/20) features
• Extensive experience in low-latency, high-performance systems programming
• Deep understanding of networking (TCP/UDP), concurrency, and multithreading
• Strong experience in Linux-based development and performance tuning
• Experience with real-time, high-throughput systems where performance is critical

Desirable:

• Background in crypto or traditional finance a plus, but not required
• Experience with kernel bypass networking techniques (AF_XDP, DPDK, or similar)
• Familiarity with C# code generation for automated trading infrastructure

Benefits:

• Competitive salary (250-600k)
• Work with the smartest people in one of the fastest-growing and most exciting industries
• Greenfield work / big impact

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

Responsibilities

• Design, develop and own a generalized system for generating business-critical reports from backend data platform
• High-impact role: reporting systems handle outputs for all products globally, and are necessary to launch and grow all business products
• Take ownership of correctness, reliability, and performance of reporting
• Develop a deep understanding of the business context in which the team operates
• Drive communication between engineers and stakeholders across the business

Skills & Experience Required

• Hands-on architecture experience building critical financial/regulatory/customer reporting or data transformation systems
• Direct experience building alerting, observability and monitoring into production systems, using tools such as Datadog, Grafana, Prometheus
• Experience designing tight SLO (>0.99) workflows on scheduling systems at scale (e.g. AirFlow)
• Expert-level programmer in Python, Pandas and SQL (Snowflake and Postgres)
• Superb code-review skills and strong instincts on how to write robust, maintainable, and generalizable code

Nice to have, but not required         

• Parallel computing patterns (multiprocessing, threading) experience and technologies (PySpark, Dask)
• Experience with ledger, trading, risk management, pricing, or other large-scale transaction/event-processing systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

Responsibilities

• Lead the integration of new exchanges into the trading platform, focusing on connectivity & functionality
• Collaborate with stakeholders to implement and maintain API connections
• Build custom solutions & tools to automate exchange integration processes
• Test and validate exchange integrations, including order execution, order book management, and trade settlement
• Monitor exchange API performance and reliability, identify and implement solutions to optimize trading efficiency
• Work closely with colleagues on integration projects (fellow software developers, product managers, compliance officers)

Skills & Experience Required

• 7+ years of finance experience
• Proven experience working with exchange APIs and protocols, with a strong understanding of order execution, market data, & trade lifecycle management
• Hands-on experience integrating digital asset exchanges into trading platforms, including API authentication, data normalization, and error handling
• Proficiency in programming languages (e.g. Python, Javascript or Go) for scripting and automation tasks
• Previous experience working in the cryptocurrency or fintech industry is required
• BS degree or above in Computer Science, Engineering, Finance, or related field.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a leading systematic trading firm that operates in all liquid asset across most major markets. They are looking for a highly experienced developer to join one of their core teams responsible for building and enhancing key components that directly affect their algorithmic trading and data management systems.

This role is an excellent opportunity to work directly with Traders & Researchers on bespoke tooling and their most immediate requirements whilst leveraging state-of-the-art tools and components.

Requirements:

• 4+ years of experience in financial services from either a tier-1 investment bank or fund
• Excellent C++ and Python experience on Linux
• Knowledge of real-time systems, high performance computing and quantitative applications

Nice to have:

• Experience working with more than one asset class
• Experience working within a mature CI/CD process, DevOps experience

Benefits:

• Competitive salary and bonus structure – market-leading
• Hybrid working arrangements
• Relaxed culture and no red-tape
• Opportunity to work on business-critical, complex problems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic trading firm that operates in all liquid asset across all the major Asian, EMEA and US markets. The firm is looking for an experienced FPGA Engineer to join their London team and provide technical project management and guidance whilst remaining hands on with key infrastructure projects across the EMEA region and globally.

This is an opportunity to join an existing team that truly takes a scientific approach to investing and a firm that sees technology as central to their continued success.

Requirement:

• 3+ years’ experience in RTL design and verification for FPGAs using Verilog, SystemVerilog or VHDL
• Experience in FPGA toolchains using Xilinx Vivado (preferred) or Intel Quartus
• Experience of simulation environments, Modelsim/Questa preferred
• Knowledge of C++ for writing hardware APIs
• Degree in Electrical/Electronic Engineering or related degree

Nice to have:

• Knowledge of Market Data protocol
• Experience with strategy implementation

Benefits:

• Extremely competitive salary and bonus structure – Market leading
• Hybrid working arrangements
• Ability to have a direct and observable impact
• Tech-first culture

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Very competitive

This is a unique opportunity at one of the largest crypto-native algo trading firms in digital assets. Looking to further expand with a Frontend Engineer who is passionate about building useful products & applications that users love.

Working closely across multiple teams – product, marketing, trading, engineering – you’ll be developing frontend applications for the firm’s new trading products and client-facing portals. You’ll also create and drive the vision for a platform/portal from scratch, with oversight/project management of the frontend experience across a range of customer lifecycle stages.

There are no legacy systems, no multiple levels of approvals, no bureaucracy; you will have the opportunity to grow and make a direct impact on trading, with huge amounts of autonomy and responsibility right away.

Requirements

• 5+ years of frontend development experience
• In-depth knowledge of frontend tech stack: node.js, npm, javascript, typescript, plus popular frameworks, e.g. React
• Good understanding of frontend/servers infrastructure, e.g. CDN, Cloudflare or similar, web servers
• Experience developing secure frontend code (strong understanding of common security vulnerabilities like cross-site scripting, cross-site request forgery, other OWASP risks and best practices for testing & mitigating them)

Desirable

• Interest in algorithmic trading
• Experience in client facing financial or other professional services products

Rewards and Incentives 

• Great base salaries and industry-leading bonuses
• Flat, non-hierarchical structure with independence & autonomy to deliver solutions
• Join a high-growth startup with a great work culture
• Loads of social events, onsite gym, unlimited food & drinks in the office

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Not your standard hedge fund, the scientists, technologists and academics at this innovative company look beyond traditional finance to develop creative solutions and sophisticated trading models.

They’re looking to hire talented software engineers who are interested in varied, challenging work for positions across all their engineering groups. You will work on world-class trading systems, creating infrastructure for your software engineering colleagues, and building and maintaining a whole host of analysis tools for quant researchers. You’ll also build technologies to boost the trading businesses, drive productivity and reduce risk across the company.

This is a great opportunity for a software engineers with outstanding programming skills in Java, Python, C or C++.

Requirements

• At least 2+ years of full-time experience required
• Good understanding of data structures and algorithms, with demonstrable experience in large-scale systems
• Engineering experience in Java, (or other JVM languages), Python, C or C++
• Superb programming and development skills
• Minimum BS/BA in a technical or quantitative field
• Candidates must have US citizenship/Greencard or a valid H1B/TN Visa

Benefits

• Market-leading base salaries + bonus
• Outstanding benefits package
• Truly collaborative culture and growth opportunities throughout the firm
• Flexible work environment
• Tuition reimbursement, conference and training sponsorship

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k base + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a dynamic engineer skilled in C++ on Linux to join one of their growing quant trading teams.

You’ll collaborate extensively with traders and technologists to evolve, improve and maintain all elements of the team’s infrastructure, including execution, signal generation, model building and back testing.

Developers here are highly valued and well-rewarded for hard work; technology is viewed as crucial to the firm’s continued success. The successful C++ Software Engineer will be passionate about development, and enjoy solving difficult technical problems in a fast-paced and energetic environment. In return, you can expect exposure to a wide range of interesting and challenging problems involving high performance computing, software design and big data.

Requirements

• Strong C / C++ development experience, including low level and high level optimization
• Fantastic instincts around performance vs simplicity tradeoffs, engineering for maintainability, extensibility and debuggability
• Solid experience of working on a Linux platform
• Self-starter who can work independently and is able to drive a project from inception through delivery
• Minimum bachelor’s degree in Computer Science/Engineering
• Bonus points for trading industry experience and/or Python skills

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k base + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant fund is looking for a highly proactive C++/Python engineer to join their rapidly expanding crypto division as they help shape the future of the industry.

In this role, your work will include building and optimizing trading strategies; researching new protocols; researching new data sources; designing and improving our research and trading systems; and collaborating with others inside and outside of the team to advance the team’s dual mission of being the top crypto trader in the world and a major contributor in the crypto ecosystem.

The ideal candidate will be a hybrid quant/dev with high personal coding standards. You’ll leverage existing utilities and open-source software effectively, and make decisions to optimize the team’s productivity, not afraid to take the longer road if it makes the code more extensible/testable.

Requirements

• At least 2+ years of programming experience in C++/Python
• Excellent understanding of Unix and git
• Proponent of cleanly architected systems
• Ability to work creatively and independently on long-term projects
• Bonus points for distributed systems experience
• Interest in open-source software and/or cryptocurrencies is advantageous

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k base + bonus

Summary

Leading global HFT firm is looking for a pragmatic C/C++ Engineer to join the Core Development team. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player.

Core Dev is a global group of technologists who architect, build and maintain the algorithmic trading platform. This is a fast-paced area, where taking ideas through to deployment must be fast and accurate. As a high performance software engineer, you’ll work with technologists & traders to build the next generation of software solutions in areas such as fast networking, high performance computing, and real-time acceleration.

Technology is prized by the traders as crucial to their continued success. This role would suit someone who has a combination of low level software engineer skills paired with computer architecture understanding, and exposure to low level network architecture. This will enable you to fully contribute to co-designing hybrid hardware/software applications.

Requirements

• Strong C/C++ design and programming skills with good API design
• Broad knowledge of algorithms and basic understanding of statistics and algebra
• Experience with Python, Matlab, or R for data analytics; Matplotlib, numpy are also preferred
• Experience developing low-level and/or embedded software applications
• Proven individual contributor in a dynamic environment
• Degree in Electrical/Computer Engineering, Computer Science (or related)

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Location: London, UK

Top Quant fund an experienced Engineering Manager / Tech Lead Manager to head a small, high-performing team focused on core ML infrastructure — distributed model training, LLM hosting/fine-tuning, and scalable deployment systems.

You’ll own technical direction, lead 6–7 experienced engineers, and drive the integration of advanced ML capabilities into real-world, high-stakes systems. This is a hands-on leadership role within a deeply technical environment. Short interview process.

You should have:

• 8+ years in software engineering, including team leadership
• Deep ML infra & distributed systems expertise
• Strong Python; working knowledge of C++/Java
• Proven ability to build and scale complex, production-grade systems

Not a fit for junior or first-time managers.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Location: London, Amsterdam or Remote

About the Role:

Senior Deep Learning Researcher with a strong background in ML, mathematical statistics, and modern DL architectures. You will contribute to cutting-edge research in foundational models, including LLMs, multi-modal, multi-domain, and continual learning frameworks.

Key Requirements:

• Experience in top applied research labs (e.g. DeepMind, Google Brain, OpenAI, Meta).
• PhD in CS, EE, Mathematics, or a related field.
• Published research in A* conferences (ICML, NeurIPS, ICLR, AAAI, KDD).
• Hands-on experience with deep learning architectures and foundational models.
• Strong programming skills (Python preferred).

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Front End / UI Engineer role within a leading HFT firm in London.

In this role, you will:

• Build high-performance front ends within a trading environment.

Skills and Experience Required

• 3 – 15 years’ UI engineering experience
• A deep passion for Front End development
• Proficiency with React, and ideally other FE technologies (Typescript, Javascript, React Hooks, ES6/ES7)
• BSc / MSc required, Computer Science preferred
• Ideally embedded within the ReactJS community + up to date with the latest features

Benefits

• Competitive compensation
• State-of-the-art technology

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.

Responsibilities

• Ensuring risk models are in a production-ready state by contributing to various parts of development, in particular the productionization
• Improving research tools and models, e.g. backtesting
• Developing APIs for internal and external customers with customized analytics
• Maintaining, improving and extending the scenario engine and risk engine code

Skills & Experience Required

• Minimum 5+ years’ quant software development experience, preferably at a top-tier financial services firm
• Ability to write production-grade (robust and maintainable) Python code
• BS degree or above in Computer Science, Mathematics, or related field
• Previous hands-on experience of (some part of) a model-building pipeline (e.g. risk, alpha, etc.)
• Built large-scale, distributed systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

Responsibilities

• Design agentic automation framework in Python on AWS Bedrock
• Decompose Jira workflows into microservices and LLM agents
• Own end-to-end delivery of automation solutions across the business, e.g. Operations, Compliance, Risk
• Build secure, high-performance integrations with core internal systems
• Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models
• Measure and tune agent output quality, latency, and cost
• Mentor junior engineers; drive coding standards, code reviews, CI/CD hygiene

Skills & Experience Required

• 8+ years’ experience of professional software engineering (Python preferred) with at least 3 years’ designing distributed, event-driven systems in AWS
• Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar)
• Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs
• Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption
• Familiarity with financial or regulated environments and related control frameworks, e.g. SOC 2, model governance
• Hands-on with observability stacks (Grafana, Datadog) and CI/CD pipelines

Desirable

• Prior work on KYC / AML automation, sanctions screening, or client onboarding flows
• Experience with event sourcing, domain-driven design, or service-based architecture
• Familiarity with LangChain, Haystack, or other agent frameworks; Infrastructure-as-Code (CDK / Terraform) and/or container orchestration with Kubernetes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Location: London
Team: Post-Trade Engineering

A leading global trading firm is seeking a hands-on Tech Lead to build a real-time sub ledger system powering firmwide P&L and trade journals. This is a high-impact role at the intersection of post-trade infrastructure, distributed systems and financial data.

What You’ll Do

• Lead a small team delivering low-latency, high-throughput post-trade systems
• Design and implement scalable, event-driven architectures
• Drive system design, performance, and production readiness
• Collaborate with trading, finance, and engineering to align priorities and outcomes

Hard Requirements

• 8+ years’ building mission-critical systems in finance
• Experience with real-time distributed systems, P&L reporting, position management
• Strong programming skills in Java
• Leadership experience in high-performance technical teams

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.

Responsibilities

• Improve core functionality of the systems, ensuring performance and accuracy
• Integrate new reference data source
• Setup ETLs for ingesting and processing data

Skills & Experience Required               

• Minimum 5+ years’ quant software development experience, preferably at a top-tier financial services firm
• Ability to write production-grade (robust and maintainable) Python code
• BS degree or above in Computer Science, Mathematics, or related field
• Experience with data pipelines
• Ideally familiar with some streaming technology
• Built large-scale, distributed systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Senior Quant Developer / Low-Latency C++ Engineer at a leading quant & systematic fund. Looking for an exceptional low-level C++ programmer with deep metaprogramming experience and a minimum of 7+ years’ professional C++ experience (since university/graduation).

In this role, you will:

• Develop, optimize, and maintain high-performance C++ code for ultra-low-latency trading systems.
• Work on strategy interaction with FPGA to ensure seamless integration.
• Collaborate with infrastructure and network teams to ensure optimal system performance.

Skills and Experience Required

• Minimum 7+ years’ C++ experience
• In-depth knowledge of memory management, multithreading, CPU cache optimization, and Linux
• Solid understanding of infrastructure and network basics

Desirable

• Ideally BSc, MSc and/or PhD in Computer Science, Mathematics or Physics
• Ideally HFT experience (client is open, however, to a non-finance background, especially if personal projects are finance-related)

Benefits

• Top of the market salary + bonuses + generous benefits package
• Latest technologies & opportunity to work on deeply complex problems with significant impact

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Role

Join the Commodities Risk & Pricing team, building and owning the risk and pricing libraries that underpin PnL and risk across the business. You’ll design and implement core vanilla models and products, partnering directly with traders and structurers in a front-office, high-impact role.

What You’ll Do

• Build and maintain core vanilla pricing models for commodities
• Own risk and pricing libraries used firm-wide
• Partner with trading and structuring teams on live transactions
• Ensure models are robust, accurate, and production-ready

Hard Requirements

• Senior front-office QR/QD experience (commodities preferred; open to other asset classes)
• Proven track record in pricing model development and ownership
• Strong programming skills (e.g. C++, Python)
• Commercial mindset and ability to work directly with risk takers
• Minimum MSc, ideally PhD, in Mathematics or a quantitative field
• 5+ years’ experience as a VP / ED in a Tier-1 investment bank or a strong buy-side firm

Skills (in order of priority)

• OTC product development experience
• Strong quantitative skills
• Need to be able to face off to senior stakeholders across the business
• Commodities experience is ideal, but they will hire from other backgrounds

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary Range: Up to $200k base + bonus

Locations: New York City, Chicago or Austin

My client is a tech-focused market-maker with groundbreaking success in the high frequency trading space, looking to hire Software Engineers for their HFT team focused on designing, improving and executing fully automated trading strategies using machine learning.

In this role, you’ll own complex technical projects and help shape the direction of the trading infrastructure. As a software engineer at this firm, you’ll work on some of the most challenging algorithmic problems in the world. The team owns the problem end to end – from data to simulation to the execution of orders in production – and the system is built to be robust, enabling research at scale while running complex ML models with low latency across thousands of financial instruments.

If you relish the challenges of an extremely fast-paced environment where your work will make a tangible impact from day one, this is the role for you!

Skills and Experience Required

• 2+ years preferred of C++ experience in low-latency systems, such as market data ingestion, order routing, execution performance, or simulation frameworks
• Strong engineering instincts plus a deep understanding of computer science fundamentals
• Expertise in C++ is strongly preferred; experience with C, Python or Linux is a plus
• Innovative, out-of-the-box thinking grounded in real-world pragmatism
• Readiness to set technical direction, promote engineering principles, and do the right thing

• Candidates must have US citizenship/Greencard or a valid H1B/TN Visa

NB: please do not apply if you’re a fresh graduate. 

Benefits

• Incredible salary + profit-sharing structure
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Direct business impact with short feedback loop
• Outstanding benefits package

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary Range: $150,000 to $300,000 base + bonus

Locations: New York City

One of the world’s largest hedge funds using innovative and cutting-edge technology, where data is fundamental to the investment process. This Quant Developer role offers the opportunity to work in highly collaborative, small, close-knit teams to design and build tools & platforms that drive quant research.

To be successful in this role, you’ll be a talented engineer with effective communication skills. You’ll be part of the team that builds analysis tools into a common platform to empower the group to work more effectively, easily share research and collaborate on ideas. In addition to providing shared frameworks, the team makes ideas and models production-ready and scalable so they can be applied in the systematic trading environment.

Requirements​

• BS or MS in a relevant and highly technical field (computer science, math, physics, etc.)
• 6+ years’ software development experience
• Solid Python experience building high quality software
• Strong interest in the research process and understanding business needs
• Willingness and ability to own end-to-end engineering processes

Candidates must have US citizenship/Greencard or a valid H1B/TN Visa

NB: please do not apply if you’re a fresh graduate.

Benefits

• Significant salary + bonus + benefits
• Build complex software solutions to solve challenging problems in agile environment
• Positive, friendly culture
• Make meaningful contributions to the research agenda & direction, with visible impact in the firm’s investments

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client, one of the world’s leading hedge funds, is in search of an experienced Quantitative Developer to join them in a team-lead capacity. This role requires technical and managerial skills with an emphasis on hands-on work. This leader would set technical direction and provide guidance to a small team of Quantitative Developers. The ideal candidate is passionate about designing, architecting, and implementing low-latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. This team works directly with the firm’s central trading teams, and by leading the construction and maintenance of this high-performance infrastructure, this Team Lead will enable new trading opportunities across businesses and regions, ensuring the best possible execution performance.

Job Duties

• Lead, mentor, and manage a team of quantitative developers, fostering a collaborative and high-performance culture.
• Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Work directly with central trading teams to optimize the firm’s overall execution performance.
• Enhance the platform’s efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
• Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
• Assist in building and maintaining automated tests, performance benchmark framework, and other tools.
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, or a related quantitative field.
• 12+ years of cumulative professional experience in software development.
• 7+ years of professional experience in a front-office, financial services environment, with a proven track record as a senior contributor or technical lead.
• Strong background in data structures, algorithms, and object-oriented programming in C++, including:
  • Proficiency with new features of C++17 and C++20
  • Proficiency with multithreading and asynchronous environments
• Strong understanding of low-latency and real-time system design and implementation.
• Strong understanding of Linux system internals and networking.
• Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures.
• Familiarity with python for quantitative research and data-oriented processing.
• Familiarity with analysis of execution algorithm performance.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Locations: New York City, London, Singapore or Dubai

Overview

My client is a global trading firm focused on systematic trading and venture investing – all within the digital assets space.

They are seeking a Security Engineer with 3–15 years of experience to protect and enhance the security of trading infrastructure, internal systems, and crypto operations. This role combines traditional systems security, application and network defense, and blockchain-specific threat modeling. You’ll work closely with infrastructure, software, and trading teams to ensure the highest standards of security across the on-prem and cloud environments.

Key Responsibilities

• Design, implement, and maintain security controls across Linux-based trading and research environments.
• Lead efforts in system hardening, network segmentation, identity management, and incident response.
• Develop and manage detection, monitoring, and alerting systems for system and crypto-specific threats.
• Conduct regular vulnerability assessments, threat modeling, and penetration testing across infrastructure and smart contract interfaces.
• Secure integration points between on-prem, cloud, and crypto custody systems (e.g. HSMs, MPC wallets).
• Collaborate with developers to ensure security best practices in code, build pipelines, and container environments.
• Investigate security incidents and perform forensic analysis when required.
• Automate routine security operations using Python, Bash, or Ansible.
• Manage compliance and operational controls for key exchanges, APIs, and wallets used in trading operations.

Required Qualifications

• 3–15 years of experience in security engineering or systems administration in Linux environments (Rocky Linux preferred).
• Deep understanding of network security, firewalling, VPNs, and intrusion detection systems.
• Proven experience with cloud security (AWS preferred), including IAM, key management, and VPC hardening.
• Strong knowledge of Linux hardening, system logging, patch management, and secure automation.
• Strong scripting and automation skills in Python, Bash, or Ansible.

Preferred Skills

• Knowledge of crypto-specific attack surfaces — exchange API security, private key management, and wallet infrastructure.
• Deep understanding of private key management:
  • Best practices for storage, encryption, retrieval, signing, and generating private keys
  • Familiarity with hardware wallets and multi-sig solutions such as Gnosis Safe and Squads
  • Best practices for cold storage
• Familiarity with the programming model of the primary blockchains including EVM and Solana
  • Understanding of Solidity (and/or Vyper) programming.
  • Familiarity with common vulnerabilities (e.g. reentrancy, integer overflows, flash loan exploits, front-running/MEV, access control flaws).
  • Experience conducting audits or using automated tools (Slither, MythX, Echidna, Foundry).
  • Ability to reason about state changes, upgradeability, and complex financial logic in contracts.

Blockchain & Protocol Layer Knowledge

• Understanding how Ethereum and Solana work at the consensus and execution layer.
• Awareness of cross-chain bridges, their security assumptions, and risks.
• Ability to evaluate protocol designs (DEXes, lending platforms, stablecoins) for systemic weaknesses.
• Experience securing blockchain nodes, custody systems, or trading bots.
• Background in low-latency or high-performance trading environments.
• Experience conducting security audits, code reviews, or penetration testing in production environments.
• Awareness of relevant compliance frameworks (SOC2, ISO 27001) in trading or financial contexts.

Soft Skills & Culture Fit

• Analytical and methodical problem-solver with a proactive mindset.
• Comfortable in high-pressure, real-time trading environments.
• Strong communication skills, with the ability to collaborate across infrastructure, trading, and software teams.
• Desire to continually improve and automate — security as code mindset.

A close-knit team that values:

• High ownership and initiative
• Curiosity, intellectual honesty, and rapid learning
• Clear, direct communication
• Working together toward shared goals — no ego, no politics

Hiring people who love building, solving, and improving — and who want to learn from and contribute to a team of exceptional peers.

Compensation & Benefits:

• Very competitive compensation, with strong upside based on contribution and performance
• Competitive holiday allowance
• Free daily Deliveroo lunch
• High-spec office and technology
• Team socials
• Global company offsites and development opportunities

Fantastic opportunity for talented programmers at one of the world’s top algorithmic trading firms in their London office. They make the world’s markets more financially efficient using smart algorithms. To get the job done, they hire some of the smartest computer scientists in the world to develop both their low latency trading platform and their massive distributed research platform.

The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage the server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You’ll improve and integrate existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable. Strong Python skills and development experience are required, along with Unix experience and interest in the security space.

This role offers a unique opportunity to make a significant impact on a critical part of existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

• Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
• Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
• Writing configuration management code to build, deploy, and maintain new services
• Helping to set the general direction for the Systems Python platform
• Working across the engineering teams to help create solutions to a variety of security challenges

Qualifications

Required:

• Strong Python programming
• Ability to debug and analyze problems quickly
• Ability to learn at a fast pace and apply new skills effectively
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems
• Interest in and awareness of security best practices

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

Profile

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python
• Experience using automation to solve problems and improve process efficiency
• Acts effectively as a team player, but also works well independently
• Skilled at juggling multiple tasks while maintaining meticulous attention to detail
• Familiarity with open-source software

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Total Comp: >£300k

A leading systematic hedge fund, investing across a variety of financial markets in multiple locations, my client is seeking a creative problem-solver to be the next Quant Developer in their growing Model Implementation team.

This team is comprised of technical and hands-on builders, each wearing multiple hats, and in this role you’ll be expected to do the same. Working very closely with Researchers and PMs on the team, your primary responsibility will be the distributed real-time trading system for computing signals, and targeting positions for various strategies. You’ll also own the design and production implementation of new strategies, lead efforts to identify and tackle platform bottlenecks, as well as adding expanding the platform capabilities to new asset classes.

The successful Quant Developer will have a strong work ethic, fantastic multi-tasking ability and a good sense of accountability.

Requirements

• Minimum 5+ years of Quant Developer experience (or similar position)
• Strong coding experience in Python and C++, with outstanding debugging and analytical skills
• Experience with Python data science stack, e.g. Pandas/Numpy/Scikit-learn
• Keen proponent of writing automated tests
• BS/MS/PhD in Computer Science (or equivalent)

Benefits

• Competitive base salaries and performance-based bonuses
• Very collaborative culture, ideas are implemented
• Work with passionate, forward-thinking, incredibly smart people

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: circa €80-150k

A tech-focused market-maker with groundbreaking success in the high frequency trading space, my client is seeking a creative problem-solver to be their next Application Engineer in Enterprise Technology.

Working closely with business operations teams, your main focus will be the systems and applications that allow those users to operate at their highest performance level. As the primary point of contact, you will play a vital role in establishing, automating, integrating and building end-to-end solutions from scratch in response to business operation requirements, enabling the firm to reach its ambitious goals.

You’ll need to have a user-first approach to problem-solving where you can adapt and choose the right tool based on each problem’s requirements. In return, you’ll enjoy a relaxed culture working alongside some of the best professionals in the industry from over 40 countries.

Requirements

• Solid engineering background in technical application usage and technical troubleshooting
• Python experience would be ideal, but skills in any similar language will be considered
• Experience working with applications such as JIRA, Confluence, Workday, Greenhouse and similar products
• Keen desire to automate your work to eliminate repetitive tasks
• Willingness to learn more about trading; no experience required

Rewards and Incentives 

• Incredible salary + profit-sharing structure
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Outstanding benefits package
• Relocation assistance + visa sponsorship provided where necessary

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary:

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.

Now looking to expand the HFT team with an experienced C++ engineer to be responsible for the latency-critical stack: from kernel-level tuning & network optimisation to highly efficient C++ components. In this role, you will design end-to-end architectures where every single nanosecond counts in close collaboration with colleagues from FPGA, hardware and infrastructure engineering.

Requirements

• 5+ years’ engineering experience in performance-critical C++ (C++17 or newer)
• Strong grasp of systems programming, low-level understanding including memory management and architecture of CPUs
• Solid proficiency with Linux internals, kernel parameters, and low-level profiling

Benefits:

• Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
• Competitive salary + generous benefits
• Professional and personal development
• Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary:

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.

Looking for a Quant Developer to join the Risk team, responsible for building and maintaining tools to support trading risk analysis and reporting. Working alongside the very best Fixed Income Risk Managers, Traders & Researchers, you’ll develop robust, scalable & consistent risk infrastructure in response to specific requirements. You’ll also build tools and frameworks to process & analyse large volumes of market and trade data across fixed income products.

This role would suit someone with exceptional communication skills and thrives on working collaboratively, bridging the gap between technical and trading teams.

Requirements

• 5+ years’ software engineering experience + strong coding (ideally in Python)
• Strong understanding of risk measures & sensitivities, and their fixed income trading application
• Deep-level knowledge of fixed income products
• Proficient capturing trading & risk requirements and translating them into technical solutions
• Familiarity with databases, APIs, and microservices architecture

Benefits:

• Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
• Competitive salary + generous benefits
• Professional and personal development
• Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Location: Fully Remote – preference for UK / Singapore / Hong Kong

My client is looking for a Junior C++ Developer. In this role, you will collaborate directly with traders and infra engineers to design, optimise, and deploy ultra-low-latency trading systems. This opportunity offers high levels of ownership with a direct impact.

Requirements:

• 1–4 years’ experience in C++, ideally from HFT
• Hands-on experience with any key HFT component – e.g. market data, OMS, exchange connectivity, feed handlers, order gateways, matching engines
• Ideally based in UK / Singapore / Hong Kong but will be FULLY REMOTE
• Good verbal and written communication skills in English 

About the Company:

This is a quantitative trading and investment firm specializing in digital assets. Developing algorithmic trading strategies using advanced mathematical and statistical techniques, they operate across global crypto exchanges, such as Binance, OKX, and Deribit.

The proprietary trading infrastructure enables efficient execution at scale, and the team brings experience from some of the most respected firms in the industry.

Focused on building a world-class quantitative trading platform in the crypto space.

What to Expect:

• Fast-paced
• Rapid idea implementation through close collaboration
• Flat hierarchy with full ownership of work
• Market-competitive compensation and generous bonuses

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Position

My client is a tech-centric prop trading fund, trading a wide range of financial products across the globe. Now looking for an engineer with robust experience in machine learning and strong mathematical foundations to join the growing ML team and to help drive the direction of the ML platform.

Machine learning is a critical pillar of the fund’s global business. The ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction. The ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.

You’ll draw on your in-depth knowledge of the ML ecosystem and understanding of varying approaches — whether it’s neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods — to aid decision-making so that the right tool is applied for the problem at hand. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them.

If you’ve never thought about a career in finance, you’re in good company. Many of the employees were in the same position before working at this firm. While there isn’t a fixed list of qualifications they’re looking for, if you have a curious mind and a passion for solving interesting problems, you’ll almost certainly fit right in.

Requirements:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
• A strong mathematical background; good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
• A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
• Expertise wrangling an ML framework – they’re fans of PyTorch, but they’d also love to learn what you know about Jax, TensorFlow, or others
• An inventive approach and the willingness to ask hard questions about whether the right approaches are being taken and the right tools being used
• Fluency in English

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

This is a high-frequency proprietary trading firm founded in 1998, seeking a Quant Developer to join one of its trading teams in London.

Joining the EMEA Development team as a Quant Developer you will be in charge of improving the current research framework through the development of existing and new tools, and providing close day-to-day support to the quantitative research team on-site.

Responsibilities:

• Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk’s quantitative trading strategies P&L
• Developing Python tools used in trading strategies research
• Improving the existing simulation/backtest framework
• Monitoring & maintenance of quantitative research jobs
• Help global research team on EMEA-related research through various communication channels

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience); Master’s degree is preferred
• Very good knowledge of Python language and statistical libraries like Numpy, Pandas, Polars
• Minimum 5 years’ experience in Python development
• Strong problem-solving skills, and the ability to work in a fast-paced, collaborative and geographically distributed environment
• Excellent communication and teamworking abilities

Nice to Have:

• Experience in C++ development
• Experience with scripting languages, such as Bash
• Experience with workflow management and task scheduling
• Good knowledge of both Equities and Equity Derivatives trading

Benefits include:

• Competitive salary and discretionary bonuses
• 6 weeks of paid vacation per year
• Breakfast, lunch, and snacks on a daily basis
• International medical insurance
• Free gym membership
• For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution
• Free events and workshops
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

One of the world’s top algorithmic trading firms, our client is looking for GPU Systems Engineers to help scale and evolve their exceptionally sophisticated HPC/AI research environment.

Joining the Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable trading and research to run 24/7 across the globe. They design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance
• Proficiency in Python scripting and automation frameworks
• CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

The Research & Development team at this successful algo trading firm builds and maintains the computers, networks, data storage, operating systems, and software that enable trading strategies and research environment to operate worldwide 24/7. Looking for a Storage Strategist who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced hands-on environment.

In this role, you will own the vision, planning and execution of current and future storage needs. Given the firm’s growth and ever-evolving needs (especially when it comes to AI), this is a unique opportunity to set the direction for future storage solutions and work across engineering teams to deliver it.

You will drive engagement with all stakeholders — internal users and both external and internal technology providers — understand their product portfolio and roadmap, and build a strategy that is inclusive of financial modeling.

Responsibilities

• Own the overall charter of delivering performant, reliable, and future-proof storage solutions for all storage needs
• Collaborate and drive efforts across multiple (internal) cross-functional engineering teams
• Improve user experience by understanding storage workloads and designing a variety of solutions and tools
• Forecast future storage needs, research new storage solutions, and build a five-and ten-year roadmap
• Draw insights from a deep understanding of hardware infrastructure and industry trends to inform the roadmap and planning decisions
• Review deliverables and provide relevant guidance to engineering teams
• Troubleshoot complex storage, OS, and networking issues
• Integrate storage systems with HPC clusters, ensuring compatibility with existing hardware and software
• Participate in an on-call rotation to ensure continuous support for operations, responding promptly to critical storage issues and incidents.

Qualifications

• 10+ years of experience in HPC-like environments with multi-PB storage deployments
• Experience in developing advanced storage software solutions and/or leading software development team(s)
• Deep expertise in HPC and scale-out enterprise storage solutions
• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, GPFS, WEKA, S3, CEPH, etc.)
• Strong leadership, communication, and stakeholder management skills
• Deep technical understanding of commodity storage technologies
• Knowledgeable on storage industry trends
• Deep technical understanding of server architecture, design, and development, with emphasis on power and performance analysis
• Ability to analyze and solve problems under quick turnaround times
• Ability to manage time efficiently, balancing independent and collaborative workflows
• Proficient in Python and UNIX/Linux shell scripting

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

One of the world’s top algorithmic trading firms is looking to hire an experienced Full Stack Developer. In this role, you will be responsible for automating and developing a wide variety of web-based systems with a Python backend, including their post-trade and middle-office systems.

As a Full Stack Developer, your code will impact business logic, provide user-friendly interfaces, and increase the quality of the web-based infrastructure. You will work closely with different teams such as Algo, Business Development, Middle Office, and Trading Tech.

It will be your responsibility to understand end-user needs and communicate effectively around project feasibility and timelines. You’ll interface heavily with both technical and non-technical peers. You will successfully leverage your technical skills to design and create full-stack applications, expand existing infrastructure, and identify opportunities for improvement.

Responsibilities

• Build new web-based tooling to provide insights and enable real-time actions using financial data, operational data, trading activity, and more
• Architect and design enhancements for the global web-based systems, mainly using Python and React
• Working closely with a variety of senior technical and non-technical users, own projects from end-to-end, including inception, gathering and refining requirements, forming and executing a structured plan, and managing ongoing support and iterations to the initial plan
• Work on tasks with a variety of time scopes, from quick fixes for existing processes to long-term direction setting
• Maintain and improve existing internal and external processes and infrastructure
• Understand and provide guidance on a large variety of data sources, minimizing unnecessary complexity through complete solutions.

Profile

• A bachelor’s degree in Computer Science, Engineering, or a related field
• 4+ years of software development experience
• 3+ years of working Python programming experience
• 3+ years of working Javascript/Typescript experience on a modern web framework (React preferred)
• Effective verbal and written communication
• Excellent multitasking and time management skills
• Ability to navigate large, interconnected projects with close attention to details
• Ability to work independently, but also collaborate effectively with team members
• Ability to look at code, figure out how it works, and identify how to make it better
• Be able to explain complicated topics, such as software design or business logic, to technical and non-technical stakeholders
• Driven by curiosity
• Thrives within a team that consistently challenges you to improve

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

Responsibilities:

As they build a new team, this firm is seeking experienced Kubernetes Engineers who can support both cloud-based and on-premise container orchestration platforms. This role will contribute to the stability, scalability, and performance of our Kubernetes clusters, supporting a variety of mission-critical workloads. You will work closely with cloud, DevOps, and application teams to ensure smooth deployment pipelines, robust observability, and secure cluster operations.

Requirements:

• Help design and lead the implementation of Kubernetes clusters (on-prem and/or cloud) with high availability, scalability, and security.
• Offer Kubernetes as a product to internal teams by delivering self-service capabilities (e.g. namespace provisioning, templated jobs, onboarding flows).
• Build reusable platform patterns and deployment blueprints using Helm, Kustomize, or custom controllers.
• Develop and maintain platform-aware GitOps workflows using tools like ArgoCD, Flux, and GitLab CI.
• Design tenancy-aware RBAC, network policies, and secrets management aligned to internal standards and developer autonomy.
• Deep understanding of Kubernetes internals, including control plane components, CRDs, CNIs, and storage provisioning.
• Apply policy-as-code via admission controllers (OPA/Gatekeeper) to enforce compliance and enable safe multi-tenancy.
• Implement observability stacks that monitor cluster health, workload status, and policy violations, exposing this to users through dashboards or APIs.
• Manage and support Kubernetes clusters across production, staging, and development environments.
• Troubleshoot and resolve infrastructure, container, and networking issues in Kubernetes environments, while shifting common operational tasks into automation and developer-friendly tooling.
• Support application teams with onboarding and deployment by enabling paved-path workflows—not ticket-based operations.
• Participate in on-call rotation and incident response related to Kubernetes and containerised applications.
• Demonstrable knowledge of Python, Golang, or similar languages, with emphasis on platform tooling, scripting, or controller development.
• Stay informed on industry trends and emerging technologies to evolve platform capabilities, developer experience, and operational resilience.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Company:

This is a quantitative trading and investment firm with a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

They are looking for a ‘full stack’ FPGA developer with at least 3 years of industry experience in hardware development to help build out hardware platform for low latency trading.

Responsibilities:

• Design, implementation, test, integration and delivery of low latency trading systems.
• Development of low latency designs in Verilog/System Verilog
• Development of test harnesses to verify developed items using self-checking test benches, BFMs, etc.
• Integration of the developed firmware on the target hardware with other system components and software
• Release of developed items
• Contribute to peer design reviews
• Undertake requirements capture
• Work in fast moving, short feedback development environment
• Ensure that all business activity is conducted in line with company values, policies and ethics codes of conduct
• Undertake any other activity as reasonably requested by management

Qualifications & Skills:

• Degree qualified in electronics/engineering related subject; however, experience will be considered in lieu of formal academic qualifications
• 3 years of industry experience
• Excellent design standards and strong debug skills
• Hands on Digital Design and FPGA Architecture experience is required
• Strong problem-solving and analytical skills
• An appreciation of digital hardware design
• Experience of developing self-checking testbenches, BFMs
• An appreciation of other engineering disciplines; Software, Networking
• Familiarity with digital communications protocols and general networking experience
• Experience of developing on large Altera and Xilinx FPGAs
• Experience in writing RTL in Verilog/System Verilog or VHDL
• Working knowledge of the following engineering tools – Vivado and Questasim
• Experience of working in a linux-based development environment
• Scripting; tcl/tk, python

Why You Should Join:

• Great People. Curious engineers, mathematicians, statisticians who like to have fun while achieving their goals
• Transparent Structure. Employees know their ideas and contributions are valued
• Relaxed Environment. A flat organizational structure with frequent activities for all employees, such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. Believing that a balanced employee is more productive, a stocked kitchen, gym membership and generous vacation packages are just some of the perks offered

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

About the role:

The successful candidate will join the infrastructure team, where you will collaborate with the Windows, UNIX, Network and database teams to design solutions in order to meet shared storage requirements. This will involve covering Windows file shares, NFS shares, performant storage-attached networks for database clusters, etc.

You will also be tasked with building and maintaining vendor relationships, product selection, design & implementation, and development of a data backup solution contributing to the firm’s business continuity plans. As well as design work the role is a technical, hands-on position.

Requirements:

• 5+ years of experience in storage systems administration and platform engineering
• You have delivered, tuned and maintained optimised enterprise grade storage solutions
• Excellent working knowledge of storage protocols (SMB, NFS, S3)
• Good working knowledge of Linux and Windows OS
• Proven track record of developing and implementing data backup strategies
• You work well as part of a team and excel in a collaborative environment
• Excellent communication and documentation skills

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Location: Fully Remote – preference for UK / Singapore / Hong Kong

My client is looking for a Junior C++ Developer. In this role, you will collaborate directly with traders and infra engineers to design, optimise, and deploy ultra-low-latency trading systems. This opportunity offers high levels of ownership with a direct impact.

Requirements:

• 1–4 years’ experience in C++, ideally from HFT
• Hands-on experience with any key HFT component – e.g. market data, OMS, exchange connectivity, feed handlers, order gateways, matching engines
• Ideally based in UK / Singapore / Hong Kong but will be FULLY REMOTE
• Good verbal and written communication skills in English 

About the Company:

This is a quantitative trading and investment firm specializing in digital assets. Developing algorithmic trading strategies using advanced mathematical and statistical techniques, they operate across global crypto exchanges, such as Binance, OKX, and Deribit.

The proprietary trading infrastructure enables efficient execution at scale, and the team brings experience from some of the most respected firms in the industry.

Focused on building a world-class quantitative trading platform in the crypto space.

What to Expect:

• Fast-paced
• Rapid idea implementation through close collaboration
• Flat hierarchy with full ownership of work
• Market-competitive compensation and generous bonuses

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Position

My client is a tech-centric prop trading fund, trading a wide range of financial products across the globe. Now looking for an engineer with robust experience in machine learning and strong mathematical foundations to join the growing ML team and to help drive the direction of the ML platform.

Machine learning is a critical pillar of the fund’s global business. The ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction. The ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.

You’ll draw on your in-depth knowledge of the ML ecosystem and understanding of varying approaches — whether it’s neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods — to aid decision-making so that the right tool is applied for the problem at hand. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them.

If you’ve never thought about a career in finance, you’re in good company. Many of the employees were in the same position before working at this firm. While there isn’t a fixed list of qualifications they’re looking for, if you have a curious mind and a passion for solving interesting problems, you’ll almost certainly fit right in.

Requirements:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
• A strong mathematical background; good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
• A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
• Expertise wrangling an ML framework – they’re fans of PyTorch, but they’d also love to learn what you know about Jax, TensorFlow, or others
• An inventive approach and the willingness to ask hard questions about whether the right approaches are being taken and the right tools being used
• Fluency in English

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

This is a high-frequency proprietary trading firm founded in 1998, seeking a Quant Developer to join one of its trading teams in London.

Joining the EMEA Development team as a Quant Developer you will be in charge of improving the current research framework through the development of existing and new tools, and providing close day-to-day support to the quantitative research team on-site.

Responsibilities:

• Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk’s quantitative trading strategies P&L
• Developing Python tools used in trading strategies research
• Improving the existing simulation/backtest framework
• Monitoring & maintenance of quantitative research jobs
• Help global research team on EMEA-related research through various communication channels

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience); Master’s degree is preferred
• Very good knowledge of Python language and statistical libraries like Numpy, Pandas, Polars
• Minimum 5 years’ experience in Python development
• Strong problem-solving skills, and the ability to work in a fast-paced, collaborative and geographically distributed environment
• Excellent communication and teamworking abilities

Nice to Have:

• Experience in C++ development
• Experience with scripting languages, such as Bash
• Experience with workflow management and task scheduling
• Good knowledge of both Equities and Equity Derivatives trading

Benefits include:

• Competitive salary and discretionary bonuses
• 6 weeks of paid vacation per year
• Breakfast, lunch, and snacks on a daily basis
• International medical insurance
• Free gym membership
• For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution
• Free events and workshops
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

One of the world’s top algorithmic trading firms, our client is looking for GPU Systems Engineers to help scale and evolve their exceptionally sophisticated HPC/AI research environment.

Joining the Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable trading and research to run 24/7 across the globe. They design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance
• Proficiency in Python scripting and automation frameworks
• CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

The Research & Development team at this successful algo trading firm builds and maintains the computers, networks, data storage, operating systems, and software that enable trading strategies and research environment to operate worldwide 24/7. Looking for a Storage Strategist who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced hands-on environment.

In this role, you will own the vision, planning and execution of current and future storage needs. Given the firm’s growth and ever-evolving needs (especially when it comes to AI), this is a unique opportunity to set the direction for future storage solutions and work across engineering teams to deliver it.

You will drive engagement with all stakeholders — internal users and both external and internal technology providers — understand their product portfolio and roadmap, and build a strategy that is inclusive of financial modeling.

Responsibilities

• Own the overall charter of delivering performant, reliable, and future-proof storage solutions for all storage needs
• Collaborate and drive efforts across multiple (internal) cross-functional engineering teams
• Improve user experience by understanding storage workloads and designing a variety of solutions and tools
• Forecast future storage needs, research new storage solutions, and build a five-and ten-year roadmap
• Draw insights from a deep understanding of hardware infrastructure and industry trends to inform the roadmap and planning decisions
• Review deliverables and provide relevant guidance to engineering teams
• Troubleshoot complex storage, OS, and networking issues
• Integrate storage systems with HPC clusters, ensuring compatibility with existing hardware and software
• Participate in an on-call rotation to ensure continuous support for operations, responding promptly to critical storage issues and incidents.

Qualifications

• 10+ years of experience in HPC-like environments with multi-PB storage deployments
• Experience in developing advanced storage software solutions and/or leading software development team(s)
• Deep expertise in HPC and scale-out enterprise storage solutions
• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, GPFS, WEKA, S3, CEPH, etc.)
• Strong leadership, communication, and stakeholder management skills
• Deep technical understanding of commodity storage technologies
• Knowledgeable on storage industry trends
• Deep technical understanding of server architecture, design, and development, with emphasis on power and performance analysis
• Ability to analyze and solve problems under quick turnaround times
• Ability to manage time efficiently, balancing independent and collaborative workflows
• Proficient in Python and UNIX/Linux shell scripting

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

One of the world’s top algorithmic trading firms is looking to hire an experienced Full Stack Developer. In this role, you will be responsible for automating and developing a wide variety of web-based systems with a Python backend, including their post-trade and middle-office systems.

As a Full Stack Developer, your code will impact business logic, provide user-friendly interfaces, and increase the quality of the web-based infrastructure. You will work closely with different teams such as Algo, Business Development, Middle Office, and Trading Tech.

It will be your responsibility to understand end-user needs and communicate effectively around project feasibility and timelines. You’ll interface heavily with both technical and non-technical peers. You will successfully leverage your technical skills to design and create full-stack applications, expand existing infrastructure, and identify opportunities for improvement.

Responsibilities

• Build new web-based tooling to provide insights and enable real-time actions using financial data, operational data, trading activity, and more
• Architect and design enhancements for the global web-based systems, mainly using Python and React
• Working closely with a variety of senior technical and non-technical users, own projects from end-to-end, including inception, gathering and refining requirements, forming and executing a structured plan, and managing ongoing support and iterations to the initial plan
• Work on tasks with a variety of time scopes, from quick fixes for existing processes to long-term direction setting
• Maintain and improve existing internal and external processes and infrastructure
• Understand and provide guidance on a large variety of data sources, minimizing unnecessary complexity through complete solutions.

Profile

• A bachelor’s degree in Computer Science, Engineering, or a related field
• 4+ years of software development experience
• 3+ years of working Python programming experience
• 3+ years of working Javascript/Typescript experience on a modern web framework (React preferred)
• Effective verbal and written communication
• Excellent multitasking and time management skills
• Ability to navigate large, interconnected projects with close attention to details
• Ability to work independently, but also collaborate effectively with team members
• Ability to look at code, figure out how it works, and identify how to make it better
• Be able to explain complicated topics, such as software design or business logic, to technical and non-technical stakeholders
• Driven by curiosity
• Thrives within a team that consistently challenges you to improve

Culture:

This fund brings a scientific approach to trading financial products. They’ve built one of the world’s most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading.

Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.

Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They’re proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives.

This is an equal opportunity employer; so whoever you are they’d love to get to know you.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

Responsibilities:

As they build a new team, this firm is seeking experienced Kubernetes Engineers who can support both cloud-based and on-premise container orchestration platforms. This role will contribute to the stability, scalability, and performance of our Kubernetes clusters, supporting a variety of mission-critical workloads. You will work closely with cloud, DevOps, and application teams to ensure smooth deployment pipelines, robust observability, and secure cluster operations.

Requirements:

• Help design and lead the implementation of Kubernetes clusters (on-prem and/or cloud) with high availability, scalability, and security.
• Offer Kubernetes as a product to internal teams by delivering self-service capabilities (e.g. namespace provisioning, templated jobs, onboarding flows).
• Build reusable platform patterns and deployment blueprints using Helm, Kustomize, or custom controllers.
• Develop and maintain platform-aware GitOps workflows using tools like ArgoCD, Flux, and GitLab CI.
• Design tenancy-aware RBAC, network policies, and secrets management aligned to internal standards and developer autonomy.
• Deep understanding of Kubernetes internals, including control plane components, CRDs, CNIs, and storage provisioning.
• Apply policy-as-code via admission controllers (OPA/Gatekeeper) to enforce compliance and enable safe multi-tenancy.
• Implement observability stacks that monitor cluster health, workload status, and policy violations, exposing this to users through dashboards or APIs.
• Manage and support Kubernetes clusters across production, staging, and development environments.
• Troubleshoot and resolve infrastructure, container, and networking issues in Kubernetes environments, while shifting common operational tasks into automation and developer-friendly tooling.
• Support application teams with onboarding and deployment by enabling paved-path workflows—not ticket-based operations.
• Participate in on-call rotation and incident response related to Kubernetes and containerised applications.
• Demonstrable knowledge of Python, Golang, or similar languages, with emphasis on platform tooling, scripting, or controller development.
• Stay informed on industry trends and emerging technologies to evolve platform capabilities, developer experience, and operational resilience.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Company:

This is a quantitative trading and investment firm with a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

They are looking for a ‘full stack’ FPGA developer with at least 3 years of industry experience in hardware development to help build out hardware platform for low latency trading.

Responsibilities:

• Design, implementation, test, integration and delivery of low latency trading systems.
• Development of low latency designs in Verilog/System Verilog
• Development of test harnesses to verify developed items using self-checking test benches, BFMs, etc.
• Integration of the developed firmware on the target hardware with other system components and software
• Release of developed items
• Contribute to peer design reviews
• Undertake requirements capture
• Work in fast moving, short feedback development environment
• Ensure that all business activity is conducted in line with company values, policies and ethics codes of conduct
• Undertake any other activity as reasonably requested by management

Qualifications & Skills:

• Degree qualified in electronics/engineering related subject; however, experience will be considered in lieu of formal academic qualifications
• 3 years of industry experience
• Excellent design standards and strong debug skills
• Hands on Digital Design and FPGA Architecture experience is required
• Strong problem-solving and analytical skills
• An appreciation of digital hardware design
• Experience of developing self-checking testbenches, BFMs
• An appreciation of other engineering disciplines; Software, Networking
• Familiarity with digital communications protocols and general networking experience
• Experience of developing on large Altera and Xilinx FPGAs
• Experience in writing RTL in Verilog/System Verilog or VHDL
• Working knowledge of the following engineering tools – Vivado and Questasim
• Experience of working in a linux-based development environment
• Scripting; tcl/tk, python

Why You Should Join:

• Great People. Curious engineers, mathematicians, statisticians who like to have fun while achieving their goals
• Transparent Structure. Employees know their ideas and contributions are valued
• Relaxed Environment. A flat organizational structure with frequent activities for all employees, such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. Believing that a balanced employee is more productive, a stocked kitchen, gym membership and generous vacation packages are just some of the perks offered

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

About the role:

The successful candidate will join the infrastructure team, where you will collaborate with the Windows, UNIX, Network and database teams to design solutions in order to meet shared storage requirements. This will involve covering Windows file shares, NFS shares, performant storage-attached networks for database clusters, etc.

You will also be tasked with building and maintaining vendor relationships, product selection, design & implementation, and development of a data backup solution contributing to the firm’s business continuity plans. As well as design work the role is a technical, hands-on position.

Requirements:

• 5+ years of experience in storage systems administration and platform engineering
• You have delivered, tuned and maintained optimised enterprise grade storage solutions
• Excellent working knowledge of storage protocols (SMB, NFS, S3)
• Good working knowledge of Linux and Windows OS
• Proven track record of developing and implementing data backup strategies
• You work well as part of a team and excel in a collaborative environment
• Excellent communication and documentation skills

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary Range: Up to $200k base + bonus

Locations: New York City, Chicago or Austin

My client is a tech-focused market-maker with groundbreaking success in the high frequency trading space, looking to hire Software Engineers for their HFT team focused on designing, improving and executing fully automated trading strategies using machine learning.

In this role, you’ll own complex technical projects and help shape the direction of the trading infrastructure. As a software engineer at this firm, you’ll work on some of the most challenging algorithmic problems in the world. The team owns the problem end to end – from data to simulation to the execution of orders in production – and the system is built to be robust, enabling research at scale while running complex ML models with low latency across thousands of financial instruments.

If you relish the challenges of an extremely fast-paced environment where your work will make a tangible impact from day one, this is the role for you!

Skills and Experience Required

• 2+ years preferred of C++ experience in low-latency systems, such as market data ingestion, order routing, execution performance, or simulation frameworks
• Strong engineering instincts plus a deep understanding of computer science fundamentals
• Expertise in C++ is strongly preferred; experience with C, Python or Linux is a plus
• Innovative, out-of-the-box thinking grounded in real-world pragmatism
• Readiness to set technical direction, promote engineering principles, and do the right thing

• Candidates must have US citizenship/Greencard or a valid H1B/TN Visa

NB: please do not apply if you’re a fresh graduate. 

Benefits

• Incredible salary + profit-sharing structure
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Direct business impact with short feedback loop
• Outstanding benefits package

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary Range: $150,000 to $300,000 base + bonus

Locations: New York City

One of the world’s largest hedge funds using innovative and cutting-edge technology, where data is fundamental to the investment process. This Quant Developer role offers the opportunity to work in highly collaborative, small, close-knit teams to design and build tools & platforms that drive quant research.

To be successful in this role, you’ll be a talented engineer with effective communication skills. You’ll be part of the team that builds analysis tools into a common platform to empower the group to work more effectively, easily share research and collaborate on ideas. In addition to providing shared frameworks, the team makes ideas and models production-ready and scalable so they can be applied in the systematic trading environment.

Requirements​

• BS or MS in a relevant and highly technical field (computer science, math, physics, etc.)
• 6+ years’ software development experience
• Solid Python experience building high quality software
• Strong interest in the research process and understanding business needs
• Willingness and ability to own end-to-end engineering processes

Candidates must have US citizenship/Greencard or a valid H1B/TN Visa

NB: please do not apply if you’re a fresh graduate.

Benefits

• Significant salary + bonus + benefits
• Build complex software solutions to solve challenging problems in agile environment
• Positive, friendly culture
• Make meaningful contributions to the research agenda & direction, with visible impact in the firm’s investments

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client, one of the world’s leading hedge funds, is in search of an experienced Quantitative Developer to join them in a team-lead capacity. This role requires technical and managerial skills with an emphasis on hands-on work. This leader would set technical direction and provide guidance to a small team of Quantitative Developers. The ideal candidate is passionate about designing, architecting, and implementing low-latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. This team works directly with the firm’s central trading teams, and by leading the construction and maintenance of this high-performance infrastructure, this Team Lead will enable new trading opportunities across businesses and regions, ensuring the best possible execution performance.

Job Duties

• Lead, mentor, and manage a team of quantitative developers, fostering a collaborative and high-performance culture.
• Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Work directly with central trading teams to optimize the firm’s overall execution performance.
• Enhance the platform’s efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
• Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
• Assist in building and maintaining automated tests, performance benchmark framework, and other tools.
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, or a related quantitative field.
• 12+ years of cumulative professional experience in software development.
• 7+ years of professional experience in a front-office, financial services environment, with a proven track record as a senior contributor or technical lead.
• Strong background in data structures, algorithms, and object-oriented programming in C++, including:
  • Proficiency with new features of C++17 and C++20
  • Proficiency with multithreading and asynchronous environments
• Strong understanding of low-latency and real-time system design and implementation.
• Strong understanding of Linux system internals and networking.
• Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures.
• Familiarity with python for quantitative research and data-oriented processing.
• Familiarity with analysis of execution algorithm performance.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is an award-winning multi-strategy hedge fund and Fixed Income Macro (FIM) is one of their major lines of business. They deploy capital in the developed interest-rate & currency markets – focusing on liquid products – including nominal and inflation-protected government bonds, interest-rate swaps, futures, options, and agency mortgage-backed securities. Strategies are primarily concentrated in the US, European and Sterling markets, combining macroeconomic analysis, quantitative modeling, and rigorous portfolio construction to identify and capture opportunities. Each portfolio manager in FIM has a disciplined approach to a specific domain, and the team jointly identifies potential investments across these products and regions through a collaborative investment process.

My client, an award-winning multi-strategy hedge fund, is looking to hire a desk-aligned engineer for their Commodities business. This team seeks to generate alpha through directional and relative value strategies across both physical and financial commodities markets. They evaluate opportunities in natural gas, power, crude, and refined products, and agriculture, primarily in North America and Europe.

Using fundamental research, proprietary analytical methodologies, and quantitative analysis to drive their views, they join these techniques with an intense focus on understanding each market they trade, reflected in the ability to generate supply and demand balances for each commodity or product. A key part of this process is their advanced technology platform, allowing a quick and deep understanding of patterns within a market or product, the ability to conduct scenario analysis and to improve the overall accuracy of their views.

Your Opportunity:

• Partner with trading, research and data teams to develop core analytics and deliver key initiatives for a commodities trading business
• Understand business challenges and drive technical/quantitative solutions
• Work with large data sets and build data analytics trading tools
• Integrate data and insights into models and investment processes
• Structure scalable, maintainable solutions, improving model frameworks and performance
• As a stakeholder in the advanced technology platform, drive enhancements that help maintain the competitive advantage

Your Skills and Talents

• Outstanding academic record. BS, MS or PhD in Computer Science/Physics; or equivalent experience
• Excellent technology skills. Fluent in Python or comparable language. Experience using multiple programming languages is desirable
• Experience with complex, multi-site, systems architectures, strong unix operating system knowledge and exposure to a variety of database technologies
• Exposure to commodity markets would be an advantage
• Highly motivated to work in a hands-on collaborative environment
• Commitment to excellence and strong attention to detail

In pursuit of the lowest latency possible, my client is expanding its FPGA team. In order to strengthen this new team, they are now looking for a seasoned FPGA engineer. The clean sheet project, having started in Q3 2024, gives you plenty of opportunity to break new ground in this exciting role. You will be working together with other experienced FPGA engineers, as well as quantitative, operations, and software teams to build out new strategies and low-latency solutions.

Do you have an entrepreneurial and result-driven mindset? Are you eager to make this new mission a success? Then this is the job for you!

This firm offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion.

This is a once-in-a-lifetime opportunity to be part of a successful and fast-growing company!

Responsibilities:

• Design and implement low-latency components in Xilinx FPGAs
• Understand, design and implement trading algorithms in FPGA in close collaboration with Trading and Research
• Design, implement and verify network infrastructure in FPGA & high-speed communications interfaces 

Requirements:

• 5 years of working experience in a similar position
• Bachelor or higher degree in Electronic Engineering, Computer Science or related field
• FPGA development in VHDL and/or System Verilog
• 10G(+) Ethernet
• Basic software development in Python and/or C
• Cocotb and verification experience is a plus
• Knowledge of Ethernet protocols – e.g. TCP – is a plus
• Experience in market data and/or order entry for financial markets is a plus

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary:

My client, a prop trading firm active across a wide range of asset classes and regions, is looking for highly talented developers with expert-level C++ skills to join their London office.

You’ll be part of a passionate team developing C++ code for the core trading engine, solving complex problems on the engine for all exchange-traded asset classes. You’ll collaborate with quant researchers, creating software to support research, analysis, backtesting, and live trading. You’ll also help design and architect world-class low-latency trading solutions by understanding networks, server architecture, and how software can best take advantage of the hardware.

Requirements:

• 3+ years’ C++ coding experience, focused on high-performance or low-latency server programming
• In-depth knowledge of Linux systems, network programming, & CPU architecture
• Knowledge of market data protocols & order entry for global exchanges
• Experience profiling and optimization code
• Bonus points for finance experience

Benefits:

• Competitive compensation packages
• Collaborative, friendly working environment
• Have an impact from day one right across the firm

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk.

Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

Operating with respect, curiosity and open minds, the people who thrive here share the belief that it’s not just what you do that matters—it’s how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As an AI Engineer, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to the business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.

Key Responsibilities:

• Drive end-to-end development of AI infrastructure and AI-driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
• Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
• Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
• Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
• Create and maintain feature pipelines, feature stores, and model stores.
• Develop frameworks to enable scalable, reproducible research.
• Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3+ years of experience working with machine learning and artificial intelligence technology.
• Strong understanding of core machine learning and artificial intelligence concepts.
• Excellent programming skills in Python.
• Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
• Hands-on experience with MLOps and AIOps infrastructure and tooling.
• Proficient in problem-solving and analytical reasoning.
• Exceptional communication and collaboration skills.
• Experience with ML frameworks, such as TensorFlow, PyTorch, TensorRT, or ONNX.
• Experience with Large Language Models, including RAG and fine-tuning techniques.
• Familiarity with compute infrastructure necessary to support operating AI and ML technology.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Position

Exciting opportunity to work at a tech-centric prop trading fund which trades a wide range of financial products, with offices across the globe. Looking for a software engineer who is passionate about front-end development, user-interface design, and typed functional programming. You would take part in the design and implementation of the next generation of browser-based tools for operating trading infrastructure.

You’ll be building for expert users, which means the UX bar is high, and at the same time create tools that are flexible and powerful enough to satisfy the needs of deeply engaged users.

Beyond working on the individual tools, the successful candidate will be someone who can find opportunities to create libraries and abstractions that capture common interaction idioms, and to sharpen development practices and firm-wide approach to UI development.

Seeking someone with a particular mix of skills and experience:

• A strong background in web technologies, including browser fundamentals like CSS and the DOM, and an understanding of the principles of UI frameworks like Vue, Angular, React, and Flutter
• Practical experience building sophisticated UIs in the browser. Someone who loves the detailed polishing that’s needed to build elegant and highly usable UIs
• An interest in and appreciation of typed functional programming as an approach to UI construction. Experience with languages like Elm, ReasonML, Purescript, and Typescript is a plus (OCaml experience is useful, but not expected).

The role will provide opportunities to work in multiple parts of the stack, including front-ends, back-ends, middleware, and databases. The job will also involve working closely with traders and other end-users to better understand their needs.

Fluency in English required.

About the Company

Founded by a small group of traders and technologists in a tiny New York office. Today, they have nearly 2,000 employees across five global offices, trading a broad range of asset classes on more than 200 venues in 45 countries. Innovating in tech, from functional programming to programmable hardware. And while the proprietary trading business thrives, they put expertise and experience to work for their clients.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Position:

My client, a tech-centric prop trading fund, trades a wide range of financial products across the globe. Their numerous distributed systems are built on an agile, reliable, multi-vendor network infrastructure that supports all traffic profiles from trading to internet connectivity.

Looking to hire an engineer with experience in both software and hardware design to work on FPGA-based applications, and on tools for creating such applications.

This firm are big believers in the ability of tools to make programming faster, more pleasant, and more reliable. The same can be said for hardware design, so they’re looking for people with real-world experience in hardware design, interested in using programming language technology to improve the process of designing, testing and validating hardware designs.

Day-to-day work will predominantly involve OCaml & Hardcaml, for both RTL design and testing/integration. Engineers will also work with some Verilog and C.

About You

This role involves working on the ground-up design and implementation of new FPGA applications, as well as helping extend and refine the high-level synthesis and testing tools used internally.

You don’t need experience with OCaml in particular, or any experience in the financial markets, but you are expected to approach hardware design with a software engineering mindset. A good background with some typed functional language and experience with using FPGAs in the context of Ethernet networking are both pluses.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

About the Role:

The successful candidate will join the global infrastructure team and be responsible for managing and maintaining Network Infrastructure and Automations for the firm. With a strict IAC (Infrastructure-as-Code) mindset implemented here, it is crucial that candidates are able to demonstrate operation of complex infrastructure at scale, which have been delivered through a software- and automation-driven mindset.

The team will be focused on maintaining the service availability, reliability, and security of the platform. Developing observability tooling, self-healing/event driven automations, and performing troubleshooting activities. Providing ongoing support and operational improvements for existing network infrastructure, whilst building capability to operate a high-performance compute datacentre.

Skills & Experience Required:

• Experience monitoring & resolving incidents across Low Latency LAN, Datacentre LAN, WAN transit, and Internet/cloud connectivity.
• Expert troubleshooting skills of network infrastructure & collaborating with vendor support teams when required to perform deep investigation.
• Oversight & development of monitoring dashboards, responding proactively to alerts with appropriate level of priority. Taking responsibility for continuous improvement of alerting and the overall observability stack.
• Running post-incident reviews finding opportunities to improve the availability and reliability of infrastructure offerings.
• Delivery of BAU changes through automation wherever possible, working with research & other infrastructure engineering teams in a highly collaborative manner.
• Perform trend analysis using various data sources aiming to seek out potential issues, improve correlation and find capacity concerns.
• Defining SLOs to ensure the high availability of network services and infrastructure.
• Ability to provide considerable support of network automation & associated tooling, such as CI/CD pipelines, orchestration, Ansible, Python, GitOps practices, amongst others.
• Be responsible for releasing into production environments by providing high quality reviews of merges and scheduled pushes of changes/features/capabilities.
• Initiative to find opportunities to automate high frequency tasks. Leading the effort to deliver a solution alongside Network Engineering, Infra Automation/DevOps and across functions.
• You will have good knowledge of infrastructure metric collection and visualisation tooling, e.g. Kibana, Splunk, Prometheus & Grafana.
• You will stay informed on industry trends & emerging technologies to ensure the automation and practices remains cutting-edge.
• Clear networking knowledge at Cisco CCNP level, either through demonstrable experience or verifiable qualifications.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary:

A tech-focused market-maker with groundbreaking success in the high frequency trading space, my client is seeking a highly skilled, creative problem-solver to be their next hands-on AI Engineer in a dynamic team.

This role offers the opportunity to own the full lifecycle – from rapid prototyping through production rollout – as you design, build, and deploy robust AI agents using Python, integrating AI solutions with existing enterprise systems. As such, this will include working closely with cross-functional teams to understand user needs and deliver effective agents, as well as developing a platform to evaluate those agents.

You’ll be expected to produce high quality, unit-tested code and uphold consistent style and documentation through code reviews & CI/CD practices. In return, you’ll enjoy a relaxed culture working alongside some of the best professionals in the industry from over 50 countries.

Requirements:

• 6+ years’ professional experience in developing Python applications
• Deep-level knowledge of Python 3.x, including advanced features (asyncio, type hints, context managers)
• Strong understanding of software design patterns, OO design, & modular architecture
• Excellent knowledge of Python, common AI/ML libraries & third-party integration
• Some commercial or open-source experience in developing AI agents with any of the well-known services
• Bachelor’s degree in Computer Science, AI, or related field

Benefits:

• Incredible salary + performance-based bonus structure
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Outstanding benefits package, including paid commuting expenses, extensive office perks, generous holiday allowance, etc.
• Relocation available & visa sponsorship where necessary

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary:

Fantastic opportunity to join an industry-leading global market maker, using innovative and cutting-edge technology. Forget the stuffy world of finance you thought you knew; developers here are tech-driven and truly world-class.

Now looking to expand their Commodities team with a desk-aligned engineer, this role offers the opportunity to:

• Partner with trading, research and data teams to develop core analytics and deliver key initiatives
• Understand business challenges and drive technical/quantitative solutions
• Work with large datasets and build data analytics trading tools
• Integrate data and insights into models and investment processes

You’ll be expected to be a self-starter who demonstrates a strong sense of ownership, execution and the ability to work in a hands-on collaborative environment.

Requirements:

• Excellent technology skills. Fluent in Python or comparable language. Experience using multiple programming languages is desirable.
• Experience with complex, multi-site, systems architectures
• Strong Unix operating system knowledge and exposure to a variety of database technologies
• Exposure to commodity markets would be advantageous
• Outstanding academic record: BS, MS or PhD in Computer Science/Physics; or equivalent experience

Benefits:

• Significant salary + bonus + benefits
• Build complex software solutions to solve challenging problems in agile environment
• Work with some of the smartest minds in the industry from a range of backgrounds

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class engineers to help build on their success.

This is a unique role, blending Level-1 support responsibilities with advanced DevOps engineering tasks, ensuring robust operational efficiency and technical excellence.

The successful Production Engineer will have outstanding communication skills, a collaborative, customer-focused mindset and be passionate about continuous learning & enhancing team capabilities.

Responsibilities

• Provide production environment support, quickly diagnosing and resolving problems (offline & real-time) and keeping internal customers informed
• Design, develop & maintain advanced reconciliation applications, ensuring consistency across digital & traditional finance trade-capture processes
• Develop monitoring dashboards and alerts using DataDog, Grafana (or similar) to proactively identify and address production issues, including end-to-end system latency
• Build tooling & monitoring solutions to facilitate comprehensive post-release validation
• You will be the incident coordinator for operational incidents on the core engineering production platform (tech comms, uphold best practices, post-incident follow-up, etc.)

Skills & Experience Required

• 5+ years’ experience in L1 Support, DevOps, SRE (or similar roles), ideally in fintech environments
• Proven experience designing and implementing monitoring and alerting tools (DataDog, Grafana)
• Strong understanding of and experience troubleshooting REST APIs and WebSockets
• Proven track record of handling multiple priorities effectively and ability to deal with ambiguity
• Experience with incident response protocols
• Strong technical expertise with Python, Unix, PostgreSQL
• Knowledge of Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB (or equivalent)
• Strong experience with automation and reconciliation processes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Operating at the intersection of crypto and capital markets, my client builds high-performance reactive systems and delivers solutions fast to keep up with the constantly changing digital assets space.

They’re looking for motivated engineers with a track record of building complex backend systems to contribute to the trading and settlement platform, built from scratch. With a varied project portfolio, tasks include designing and building order routing algorithms, connecting to liquidity providers, building position management and risk systems and performance tuning.

To be successful in this role, you’ll be comfortable taking responsibility for the full development lifecycle – from product and design to deployment and monitoring. You’ll also be an exceptional communicator who knows the best way to get things done is collaboratively.

Requirements

• 3+ years’ experience in software engineering, ideally Java, C++, C#, Python, or Go
• B.S. or M.S. in Computer Science (or related field) or equivalent experience
• Strong background in building and working with complex backend systems
• Experience in financial technology, with crypto and / or traditional financial know-how a strong plus
• Experience building trading systems for traditional markets is preferred but not required

Benefits

• Competitive compensation package
• Very direct impact on the PnL, with very little bureaucracy
• Unique benefits package, including unlimited paid time off, opportunity to work from other offices combined with a holiday, regular team getaways

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

This is a pivotal role, where your primary focus will be building the firm’s real-time event processing system (i.e. clearing sub-ledger). This will involve designing, developing and maintaining the core infrastructure & systems for the prime brokerage platform, including trade execution, position management, risk monitoring, and reporting modules.

Responsibilities

• Build robust systems for managing the entire trade lifecycle, from order routing & execution to settlement & reconciliation.
• Identify performance bottlenecks and optimize system components for maximum throughput, low latency, and high reliability.
• Draw on your knowledge and experience to support your team in making diligent & sound architectural decisions, upholding the highest bar for quality.

Requirements

• 8+ years’ in software development/engineering experience
• Strong programming skills in Java, C++, or Python
• Familiarity with industry-standard technologies and protocols, e.g. FIX protocol, market data feeds, OMS
• Experience with distributed systems and high-throughput services
• Background in real-time transaction processing within trading, risk management, or web2.0 companies (large-scale transaction/event-processing systems: trading systems, risk management systems, pricing systems)
• Driven self-starter with a strong sense of ownership coupled with effective collaboration and leadership
• Excellent communication skills, plus ability to develop relationships with stakeholders across the firm
• Solid financial services experience
• B.S. degree or above in Computer Science, Engineering, Finance, or related field.

Nice to Have

• Experience at a fast-paced, high-growth-stage company
• Digital assets experience

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player. This leading quant firm has a fantastic opportunity on their centralised trading team where you will draw on your quantitative problem-solving skills and advanced statistical techniques to build and enhance market prediction models.

They are ideally looking for a platform engineer who has built and improved quant infrastructure.

This role is perfect for an experienced developer who can pull together all of their previous skills and expertise to lead, architect and create a platform designed to be a critical tool for this team both now and for many years in the future.

Technology is viewed as a crucial component of their continued success. The successful quant developer will be a self-starter, thrive under pressure and excel when given ownership of projects and responsibilities. Work is varied; example projects include:

• Investigate and design data mining and machine learning algorithms
• Research modeling and forecasting future price actions
• Develop and improve scalable quant research frameworks using Python and C++
• Serve as an advisor across a the business, providing new and innovative solutions

Requirements

• 3 – 8 years’ solid dev experience (in financial markets would be ideal)
• Strong C++, Python
• Experience building and improving quant infrastructure would be ideal
• Master’s or PhD in Mathematics, Statistics, Operations Research (or equivalent)

NB: Please do not apply if you are a fresh graduate.

Benefits

• Competitive base salary & bonus
• They’re willing to be flexible with WFH
• Enormous opportunity to grow and have an impact
• Contributions are rewarded; career progression supported
• Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for exceptional FPGA engineers to join an elite global team to design and build the next generation of hardware solutions.

Collaborating with technologists and traders, you will provide hardware systems in areas such as fast networking, high performance compute and real-time acceleration. You will be expected to solve difficult technical problems in a fast-paced, dynamic environment, with a focus on co-designing hybrid hardware/software solutions.

They see technology as a key component of their continued success. The ideal candidate will have a mix of traditional RTL development and software skills, strong work ethic, and the drive to continually learn and improve.

Requirements

• 3+ years’ proven track record of hands-on FPGA development where you have taken ownership
• Ideally you’ll have C++ experience too
• Solid knowledge of building reliable, high performance FPGA hardware systems
• 3+ years of SystemVerilog / Verilog / VHDL experience
• Good understanding of technology tradeoffs, with a pragmatic approach to problem solving
• Degree in Electrical Engineering or Computer Science (or related)

NB: Please do not apply if you’re a fresh graduate.

Desirable

• Any of the following: Linux, scripting language proficiency (preferably Python), high level synthesis flows, familiarity with Jenkins CI / Github / ctypes / SWIG

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow and have an impact
• Contributions are rewarded; career progression supported
• Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k base + bonus

Summary

Leading HFT fund looking for a self-driven quantitative researcher to join their centralised Latency team where you will draw on your problem-solving skills and data science/statistics experience to analyse billions of collected trading data points and unearth competitive edges.

This role offers the opportunity to develop both business and technical expertise; working closely with trading teams to perform post-trade statistical analysis and identify relationships between business metrics  and changes on the infrastructure technology. You’ll also investigate and design data mining and machine learning algorithms.

Unique in their field, this global firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. This role would suit a curious, highly collaborative researcher who has demonstrated the ability to independently drive projects to completion.

Requirements

• Minimum 2+ years’ experience
• Hands-on programming experience in Python with a focus on data science & analytics
• Sound experience in Machine Learning and Statistics
• Outstanding problem-solving capabilities
• Bonus points for experience with C++, SQL and network protocols

NB: Please do not apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Unique culture where you can fulfil your potential through collaboration and mutual respect

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: £200k + bonus

Summary 

Not your traditional HFT firm, this company takes a scientific approach to trading financial products. They’re looking for a modern C++ engineer to help drive their expansion into the EU, US and APAC markets. A community of self-starters from multiple tech backgrounds – maths, computer science, statistics, physics, engineering – they have built one of the world’s most sophisticated computing environments for research and development.

This is an extremely high-impact role – contributing to the bottom line from day one. You will work closely with the algo and operations teams, and you will be expected to own the process of entering new markets while managing the continuing & ongoing process of optimizing trading in existing markets.

Requirements

• Modern C++ (17/20) experience is a must-have
• Familiarity with UNIX operating systems and comfort at a command line
• Exceptional communication skills, including the ability to describe software designs at all technical knowledge levels
• Self-starter, with a passion for coding, tinkering, reading, exploring, breaking things, etc., in your spare time
• Bachelor’s degree in Computer Science, Engineering (or related field)
• Experience developing market data and order entry systems a plus

NB: Please do not apply if you’re a fresh graduate.

Benefits

• Market-leading salary + bonuses + benefits
• They’re willing to be flexible with WFH
• Collaborative and friendly environment with smart, highly engaged colleagues
• Culture where everyone’s ideas are encouraged and celebrated
• Gain broad exposure to both technical and business aspects of trading

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £200k + bonus

Company:

This hedge fund, with a cool start-up vibe, is the next big thing in systematic trading. Using the best technology and tools in the market, they are developing proprietary trading strategies, technology and algorithms to make tens of thousands of trades per second.

Technology is central to the success of this company: they rely heavily on the ultra-low latency of trades and high performance code, proudly branding themselves 97% tech-driven and ‘more like a software house’ than a bank. Although they work with a range of technologies – C++/Java/C# – candidates with any OO experience will be considered.

This is an entirely UK-based fund and is one of the best performing systematic prop funds over the last 10 years. All of the major decision-makers are based in London – which is a very rare advantage.

Position:

They are seeking several strong developers to join the EU development team based in London. With experience developing in OO languages [C++ or Java or C#] you will work on one of the core trading systems. While you need NO financial knowledge, you should be keen to learn.

This role is business facing; working with traders to implement new ideas and further enhance the in-house developed trading applications whilst maintaining scalability.

Your key responsibilities will be to produce the best trading tools in London. Finding new techniques on how to improve trading algorithms and systems, as well as improving performance on the current system will be crucial.

Required:

• Excellent OO knowledge [C++ / Java / C#]
• Degree (or relevant qualification) – preferably Computer Science or numerate subject
• Desire and ability to learn more, particularly about financial markets
• Commercially aware, priorities in business context
• Strong team-oriented attitude with natural inclination to share and collaborate

Helpful:

• Understanding and experience developing mission-critical, performance-sensitive, real-time systems
• Experienced in multithreaded (and preferably network) software development
• Cross-platform development [Windows and Linux]
• Thorough understanding of software development methodologies – especially scrum/agile methods
• Excellent verbal and written communication skills

NB: Please do not apply if you are a fresh graduate.

Benefits:

• Incredible salary & bonus
• They’re willing to be flexible with WFH
• Daily catering – breakfast, lunch, plus a fully stocked kitchen
• Chill-out area with pool table, table tennis, TV and Playstation
• Competitive annual leave, health & life insurance, gym membership
• Two discretionary performance-related bonuses a year

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: £200k base + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for an expert C++ engineer to join their core UI team. Their projects include applications for real-time trading and generation of information-rich visualizations based on archived data.

Developers here are highly valued and well-rewarded for hard work, and as a result, are some of the brightest minds from across the trading, tech and start-up industries. This team serves the UI needs across the business, and this role will involve writing highly optimized code for high-performance back-ends running on Linux to process huge amounts of data. There will also be an opportunity to do full-stack work, contributing to the C++ front-end code for Qt desktop applications, as well as Typescript/React for web applications.

Here, technology is viewed as key to their continued success. The successful C++ Engineer will be passionate about development, have a strong work ethic and be motivated to continually learn and improve.

Requirements

• Minimum 4+ years’ modern C++ development experience (C++ 11/14/17/20)
• Solid experience of Linux and low-level systems programming
• Knowledge of and ability to develop scalable back-end services
• Skilled at writing reliable code, and providing code review feedback to others
• Bonus points for any of: Typescript/Javascript, React, Qt, Python

NB: Please do not apply if you’re a fresh graduate.

Benefits

• Competitive base salary + bonus
• They’re willing to be flexible with WFH
• Enormous opportunity to grow, learn and have an impact
• Contributions are rewarded; career progression supported
• Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Summary

Fantastic opportunity for a strong C++ software engineer to join a globally successful firm. This role offers the opportunity to contribute to work with the latest technologies on engaging complex problems.

You’ll partner with colleagues across the business to understand their needs and priorities, and create software solutions that optimizes performance and efficiency. The work will be a mix of designing, testing & deploying elegant software, analyzing technical problems, and continuously improving performance, functionality and stability.

This firm hires the brightest minds from a range of backgrounds – technology, research, and finance – and provides all the tools needed to collaborate. The successful candidate will be an outstanding communicator, who does their best work in a fast-paced, dynamic and collaborative environment.

Requirements

• 3+ years’ professional experience
• Solid C++ experience, writing clean reliable code
• Keen proponent of solving open-ended problems with analytical methods
• Ability to work independently and prioritize high-impact projects
• Bachelor’s degree in Computer Science (or related field) from a top-tier university

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Comp: £100-200k

This is a fantastic opportunity to work at a tech-focused market maker with groundbreaking success in the high frequency trading space. They’re now seeking a motivated data reliability engineer with strong Python skills.

You’ll join Global Data Engineering in London; a highly talented team with a dedicated focus on supporting the Trading teams. This role offers the opportunity to combine hands-on engineering with high-impact operations.

As first-line support for the trading environment, you will be the point of contact for traders, researchers, and other internal users. You can expect a varied workload, including investigating and resolving user issues, addressing data quality concerns, working with vendors and managing alerts. You will also cover integrating new datasets, configuring quality controls, and ensuring pipelines and APIs are robust, scalable, and production-ready.

The successful Data Operations Engineer will have outstanding collaboration skills, with strong operational instincts: taking ownership of issues, communicating clearly under pressure and caring deeply about system reliability.

Requirements

• 3+ years’ experience in a similar role in a high-performance/time-sensitive environment (e.g. Data Engineer, SRE, Software Engineer, Data Operations)
• Strong proficiency in Python, including libraries such as Pandas, Arrow & Spark
• Solid understanding of data modeling, normalization, and API development for large-scale analytical or trading systems

Nice to Have

• Experience with Lakehouse architectures (e.g. Delta Lake, Databricks, AWS)
• Exposure to real-time and historical market data (e.g. fixed income/Credit, ETFs, equities)

Rewards and Incentives 

• Great base salaries and industry-leading bonuses
• Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
• Generous benefits package, including commuting expenses, breakfast and lunch facilities, regular social activities and more
• Direct business impact with short feedback loop

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a multi-strategy hedge fund using sophisticated insights to discover strong, repeatable returns for investors. As they embark on an exciting new chapter, they’re looking for a Lead Windows Engineer.

In this mission-critical role, you’ll lead the architecture, implementation and maintenance of a robust Windows infrastructure environment for a newly independent company, overseeing both on-premise and cloud systems.

You’ll be expected to bring strong professional experience in enterprise engineering, with a particular focus on system configuration and automation.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a one-of-a-kind quantitative trading company operating on the cutting edge of technology. The company has risen to prominence in the HFT space in recent years, by leveraging not only the expertise of their talented people, but also state-of-the-art research infrastructure. Trading activities span various platforms worldwide, encompassing both traditional and cryptocurrency markets.

Now seeking a strong Quantitative Researcher to join the team, where you will be involved in both research and trading. Your day-to-day will include:

• Operate automated latency-sensitive trading systems
• Monitor the systems’ executions and open positions
• Adjust system parameters based on market conditions
• Manually trade to reduce risk when necessary
• Suggest automation and improvements to the systems
• Communicate relevant news, market events, and system behavior to team members
• Stay current with system functionality

They operate within a truly flat organizational structure, not siloed like other firms. You can work from anywhere in the world, or in one of their fully equipped offices if you prefer.

Requirements

• 3+ years of algorithmic trading experience
• A proven track record in the last 2-3 years
• Having your own trading strategies/ideas
• 1+ year of experience in Python
• Performs well in a remote/hybrid team with variable, project-based responsibilities

Nice to have

• Experience with international HFT companies and hedge funds
• Strong competitive/technical background: performance in any quantitative field or contest (hackathons, Olympiads, academic contests, etc.) highly beneficial

Benefits

• Complex challenges with fast feedback loops
• Great corporate culture with internal events & commitment to fostering a supportive and empowering environment
• Cutting-edge hardware and technology
• Flexible schedule
• Significant paid days off
• Competitive salary and performance-based bonuses

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

High-frequency prop trading firm with offices worldwide is looking to expand one of its trading teams in Paris with a talented Python Research Engineer.

In this role, you’ll collaborate with traders and researchers as you help architect and develop unified systems that enable strategies to be produced. You’ll reduce the time and cost required to conduct research, as well as enabling new research by designing flexible, efficient, scalable systems that the business can use easily.

Qualifications

• Software development experience in Python, proficiency in C++ & Bash
• Strong background in data structures, algorithms and OO programming
• Experience with distributed systems, scientific computing and ML algorithms
• Deep understanding of machine- and network-level details of computer hardware and OS
• Solid troubleshooting and problem-solving abilities
• Minimum bachelor’s degree in Computer Science (or related) from a top-tier university
• Excellent communication skills and fluency in English
• Financial experience is not required.

Benefits

• Competitive salary and discretionary bonuses
• Generous paid vacation allowance
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health & wellness expenses
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

High-frequency prop trading firm with offices worldwide is looking to expand one of its trading teams in London with a talented Python Research Engineer.

In this role, you’ll collaborate with traders and researchers as you help architect and develop unified systems that enable strategies to be produced. You’ll reduce the time and cost required to conduct research, as well as enabling new research by designing flexible, efficient, scalable systems that the business can use easily.

Qualifications

• Software development experience in Python, proficiency in C++ & Bash
• Strong background in data structures, algorithms and OO programming
• Experience with distributed systems, scientific computing and ML algorithms
• Deep understanding of machine- and network-level details of computer hardware and OS
• Solid troubleshooting and problem-solving abilities
• Minimum bachelor’s degree in Computer Science (or related) from a top-tier university
• Excellent communication skills and fluency in English
• Financial experience is not required.

Benefits

• Competitive salary and discretionary bonuses
• Generous paid vacation allowance
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health & wellness expenses
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class engineers to help build on their success.

Responsibilities will include:

• Automate infrastructure and operational workflows using IaC with Terraform and AWS CDK.
• Develop & optimize CI/CD pipelines to improve software delivery for large-scale distributed systems using Amazon CodeBuild, GitHub Actions & Terraform Enterprise
• Implement and maintain observability solutions to establish real-time monitoring and proactive incident response using Datadog and AWS CloudWatch
• Ensure high availability and performance of relational and time-series databases (PostgreSQL/QuestDB), including replication, failover strategies, and query optimization

Skills & Experience Required

• Extensive experience with AWS, including EC2, ECS, S3, RDS, Lambda, MWAA, API Gateway, Route53, SSM, EFS, Backup, DynamoDB, Cloudfront, VPC, CodeBuild, CodePipeline, CodeArtifact, Config, Elasticache, and networking components in a highly available environment.
• Strong Python programming & automation skills in Python
• Proven experience with event streaming (i.e. Kafka/Kinesis)
• Deep understanding of distributed systems architecture, fault tolerance, disaster recovery, and performance tuning
• Hands-on experience with observability and monitoring tools (e.g. Datadog, ELK, CloudWatch)
• Proven track record managing infrastructure with Terraform or AWS CDK
• Strong background in incident management, system reliability, and operational leadership, with experience conducting root cause analysis & implementing reliability improvements

Benefits & Incentives

• Build and scale mission-critical systems that power global financial markets
• Work in a technology-driven culture focused on automation, performance, and reliability
• Contribute to shaping the future of financial technology
• Engage with cutting-edge AWS, SRE, and observability tools in a fast-moving environment

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class engineers to help build on their success.

Responsibilities will include:

• Automate infrastructure and operational workflows using IaC with Terraform and AWS CDK.
• Develop & optimize CI/CD pipelines to improve software delivery for large-scale distributed systems using Amazon CodeBuild, GitHub Actions & Terraform Enterprise
• Implement and maintain observability solutions to establish real-time monitoring and proactive incident response using Datadog and AWS CloudWatch
• Ensure high availability and performance of relational and time-series databases (PostgreSQL/QuestDB), including replication, failover strategies, and query optimization

Skills & Experience Required

• Extensive experience with AWS, including EC2, ECS, S3, RDS, Lambda, MWAA, API Gateway, Route53, SSM, EFS, Backup, DynamoDB, Cloudfront, VPC, CodeBuild, CodePipeline, CodeArtifact, Config, Elasticache, and networking components in a highly available environment.
• Strong Python programming & automation skills in Python
• Proven experience with event streaming (i.e. Kafka/Kinesis)
• Deep understanding of distributed systems architecture, fault tolerance, disaster recovery, and performance tuning
• Hands-on experience with observability and monitoring tools (e.g. Datadog, ELK, CloudWatch)
• Proven track record managing infrastructure with Terraform or AWS CDK
• Strong background in incident management, system reliability, and operational leadership, with experience conducting root cause analysis & implementing reliability improvements

Benefits & Incentives

• Build and scale mission-critical systems that power global financial markets
• Work in a technology-driven culture focused on automation, performance, and reliability
• Contribute to shaping the future of financial technology
• Engage with cutting-edge AWS, SRE, and observability tools in a fast-moving environment

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent scope for career growth.

Responsibilities:

• You will be working within a trading desk (in opposition to core roles), which means that your contribution will have a direct and immediate impact on the desk’s success
• Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders.
• A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing)
• Opportunities to solve hard technical challenges critical to the desk’s success

Skills & Experience Required:

• Preferred industries for this role are: buyside finance, big tech, or gaming
• Excellent knowledge and experience using modern C++
• Good understanding of what is happening behind the abstractions – be it CPU, memory, OS, network
• Ability and willingness to take full ownership of the work – taking projects all the way from an idea to a delivered solution
• Good communication skills in a dynamic environment
• Python highly desirable
• 2+ years of experience in a quantitative trading environment highly desirable

NB: Applications only accepted from those located in the US or Europe

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Location: London or Amsterdam

My client is a tier-1 prop trader/market maker, providing liquidity and accurate pricing in various financial instruments to multiple exchanges across the world.

The Trading Operations Production Support Engineering team is responsible for maintaining and scaling the low-latency trading systems. The team ensures a safe, stable, and efficient production environment while supporting profitability and sustainable growth across various regions. Collaborating closely with traders, development, and operational teams, you will deploy, monitor, troubleshoot, and optimize trading infrastructure to enhance reliability, performance, and automation.

Responsibilities

• Provide technical expertise and support to high-frequency trading floors, troubleshooting complex issues and resolving incidents in a fast-paced, dynamic setting.
• Deploy, maintain, and monitor proprietary trading applications, ensuring stability and performance in the trading environment.
• Review and analyze incidents to identify recurring themes, driving improvements to enhance automation and operational efficiency.
• Coordinate deployments of new trading products, systems, and exchanges, ensuring readiness for events such as corporate actions or special announcements.
• Architect and maintain services to maximize reliability, ensuring the trading systems operate within performance thresholds.
• Collaborate with development teams to establish best practices and ensure the long-term stability of production systems, even under extreme conditions.
• Set standards for system configuration and deployment to minimize risks and support smooth scaling.
• Manage the colocation to ensure the right level of redundancy and capacity for growth is available.
• Automate system management processes, while maintaining control over critical operations.

Requirements

Technical Skills:

• Solid experience managing complex distributed systems in Linux environments (L2/L3 support), with a strong understanding of networking fundamentals, build, deployment, and version control systems.
• Proficiency with CI/CD tooling and scripting in Python or similar languages to automate tasks.
• Experience with relational databases (e.g. PostgreSQL) or other database systems.
• Demonstrated ability to drive system improvements and work across global teams to deliver changes.

Non-Technical Skills:

• A collaborative team player with a positive attitude, capable of coordinating effectively across departments.
• A pragmatic and logical thinker who thrives in fast-paced environments, with strong troubleshooting skills and the ability to resolve incidents efficiently.
• Effective communicator, able to clearly explain technical concepts and ask insightful questions.
• Highly organized, able to manage multiple responsibilities while keeping stakeholders informed.
• Passionate about technology, curious about the interaction between hardware and software, and driven to learn and grow by embracing frequent change.
• Prior experience in high-frequency trading environments is a plus, but not required.
• Prior trading or financial experience is not needed – the onboarding program will support you in gaining all the relevant knowledge.

NB: Applications only accepted from those located in the US or Europe

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a leading tech-driven diversified trading firm, trading their own capital across a broad range of asset classes, instruments and strategies in markets worldwide. They are looking for exceptional Python engineers to join an established multi-asset trading team with a global presence.

The position offers a unique opportunity to influence the design and architecture of a growing system and ensure efficient development and deployment of revenue-generating solutions as part of an innovative front-office team. Candidates should have strong initiative and have proven experience of independently driving projects to completion.

Working from high-level requirements, programmers are expected to gain an intimate understanding of the business and work directly with Traders and Quantitative Researchers on a daily basis.

Responsibilities

• As part of the global team of Software Engineers embedded in our Global Delta One business, you’ll work on its automated trading platform
• Improve existing code and develop new tools
• Collaborate directly with traders & researchers to identify solutions and/or create technical specifications and clearly articulate value add of new capabilities
• Manage a technology backlog from ideation to deployment
• Work closely with traders, researchers, software engineers, and support engineers across the business

Qualifications

• Strong preference for experience developing trading-related software or coming from a complex technology-based organization
• Minimum of 3 years of professional development, demonstrating excellent, detailed understanding of Python
• Able to analyze business requests and translate to technical specifications and solutions
• Able to teach others
• Experience optimizing distributed systems
• Experience of data-intensive systems development
• Excellent communication and organizational skills
• Must be able to come into London office 5 days per week

NB: Applications only accepted from those located in the US or Europe

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: Market-Leading

Location: London

Summary:

A world-class HFT is looking to add a senior engineer with extensive reliability expertise to join their core systems group.

The successful candidate will work in a hands-on role in an elite team, coding with Python whilst building and maintaining Linux, networking and other systems architecture.

Requirements:

• Strong Python programming skill-set
• Solid understanding of Linux operating systems
• Strong computer science fundamentals
• Outstanding communication skills
• Trading firm expertise a bonus

Benefits and Incentives:

• Work alongside outstanding engineers in an elite, modern technical environment
• Potential for significant upside
• Friendly, collegiate culture
• Hybrid/flexible working options

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.