More jobs:
Systematic Developer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-01-12
Listing for:
Capula
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Scientist, Cloud Computing, Data Engineer
Job Description & How to Apply Below
We are seeking a highly skilled and motivated Quantitative Developer to join our systematic investment team. This role is ideal for an individual with a strong background in computer science and a proven track record of supporting systematic investment processes. You will work alongside portfolio managers, researchers, and technologists to design, implement, and maintain critical infrastructure for data, research, and trading systems.
Candidates will ideally be able to join Capula in < 6 months (including any relevant non-compete).
- Develop and maintain robust, scalable software systems for systematic trading strategies
- Collaborate closely with quantitative researchers to implement research workflows and production pipelines
- Optimize and refactor existing codebases for performance and reliability in a low-latency, Linux-based environment
- Contribute to infrastructure and tooling that supports research, backtesting, data ingestion, and live trading
- Troubleshoot and resolve production issues rapidly and reliably
- Work cross-functionally with other teams to ensure technology and investment alignment
- Bachelor’s degree in Computer Science from a top-tier U.S. or Canadian engineering school
- 3–7 years of professional software development experience, with at least 3 years supporting a systematic investment process
- Coursework or research experience in statistics or other data-intensive fields
- Advanced Python programming skills in a production-level, Linux-based environment
- Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences
- Professional (not academic) experience with C++ or C#
- Internship or full-time experience at a leading technology firm
- Advanced degree (e.g., M.S. or Ph.D.) in Computer Science or a computationally intensive discipline
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