Quantitative Software Developer (New York)

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 simulationRefining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting componentsBuilding tools for signal blending, simulation, portfolio construction, the research framework, and dashboardsMaintaining and updating the platform, ensuring its stability, robustness, and securityDeveloping robust data checking and storage proceduresTroubleshooting and resolving any systems related issues and handle the release of code fixes and enhancementsREQUIREMENTS:Bachelor’s degree or higher in computer science or other STEM disciplineAdvanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internalsExperience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)Proficiency with LinuxHands-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 helpfulProficiency with C/C++ is a plusExperience with designing and implementing trading systems is a plusCommitment to the highest ethical standards