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 backtesting componentsBuilding tools for signal blending, simulation and dashboards for production montioringMaintaining and updating the platform, ensuring its stability, robustness, and securityDeveloping robust data checking and storage proceduresTroubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancementsRequirements:
Bachelor’s degree or higher in computer science or other STEM discipline5+ years of professional programming experience, preferably at a quantitative trading firmAdvanced proficiency in Python and its ecosystem, with an understanding of Python and library internalsProficiency with LinuxHands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)Proficiency with Java and SQLCommitment to the highest ethical standards