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.
The Role:
- You will be working within a trading desk (in opposition to core roles) building analysis tools and infrastructure used by the desk to aide investment decisions, 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 Event Driven trading. They use index data, M&A data, risk models and other event-driven data from a variety of sources, data management (various data sources and thousands of dimensions to handle), and analytics infrastructure
- Opportunities to solve hard technical challenges critical to the desk’s success
Requirements:
- Excellent knowledge and experience using latest Python libraries: numpy, pandas, polars, dask, etc.
- Good knowledge of SQL and relational databases
- Good understanding of what is happening behind the abstractions – be it CPU, memory, OS, network, etc.
- 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
- 0-2+ years of experience in a quantitative trading environment desirable
- Knowledge of financial markets trading is a plus
They welcome applications from candidates who are wishing to relocate.
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.