Company:
A systematic investment manager with deep expertise in quantitative trading, technology, and operations is seeking to achieve high-quality, uncorrelated returns for clients and develop model-based investment strategies through rigorous scientific research. As a data-driven firm, technology plays a critical role in success. The company designs, builds, and operates state-of-the-art systems, from high-performance automated trading platforms to large-scale data science and compute farms.
The Team:
A company is expanding its team of skilled quantitative developers. Successful candidates will join a team of professionals working directly with quantitative researchers to design, implement, deploy, and utilize software for research and trading. The team adheres to modern software development principles and collaborates with peers in technology to enhance these tools for broader use. Quantitative developers lead cross-team initiatives with technologists and quantitative researchers across various asset classes to achieve the company’s objectives.
Candidate Requirements:
The ideal candidate must possess a strong work ethic, enthusiasm for working on the cutting edge of technology, and the drive to navigate through complex initiatives. Attention to detail and defensive programming experience are essential.
Qualifications:
- Degree in applied math, physics, engineering, quantitative finance, or computer science
- Graduate degree required
- 2 or more years of experience with Python, C++, and standard libraries
- Kdb+/q or database experience is advantageous
- Working knowledge of finance, data storage, processing, and analysis
- Advanced quantitative skills are beneficial
- Experience with modern software development: Version control, agile development
- Experience with requirements analysis and designing software solutions is advantageous
- Excellent technical communication skills
- Ability to rapidly learn and apply new technologies
- Ability to balance tactical work while pursuing long-term strategic projects