Quantitative Software Developer

ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: - 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 REQUIREMENTS: - 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 - Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) - 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 - Proficiency with C/C++ is a plus - Experience with designing and implementing trading systems is a plus - Commitment to the highest ethical standards