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 backtesting components
• Building tools for signal blending, simulation and dashboards for production montioring
• 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 handling the release of code fixes and enhancements

Requirements:

• Bachelor’s degree or higher in computer science or other STEM discipline
• 5+ years of professional programming experience, preferably at a quantitative trading firm
• Advanced proficiency in Python and its ecosystem, 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)
• Proficiency with Java and SQL
• Commitment to the highest ethical standards