Quantitative Developer

Cubist Systematic Strategies, an affiliate of Point72, develops systematic, computer-driven trading strategies across liquid asset classes. The Quantitative Developer builds and maintains trading and research infrastructure, including simulation, data, portfolio construction, and platform reliability tools.

What you'll do:

• Building components for both live trading and simulation
• Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
• Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements

What they're looking for:

• Bachelor's degree or higher in computer science or other STEM discipline
• Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
• Proficiency with Linux
• Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
• Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
• Commitment to the highest ethical standards
• Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
• Proficiency with C/C++ is a plus
• Experience with designing and implementing trading systems is a plus