Quantitative Developer

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.

• →Building components for both live trading and simulation of global equities portfolios
• →Building tools for simulation, portfolio construction, dashboards, and the research framework
• →Designing and deploying new features to improve portfolio construction methodology and process
• →Maintaining and updating the platform, ensuring its stability, robustness, and security
• →Identifying deficiencies in the trading platform and deploying solutions
• →Developing robust data checking and storage procedures
• →Troubleshooting and resolving any systems related issues and handling the release of code fixes and enhancements

• Master’s degree or higher in mathematics, statistics, computer science, or other quantitative discipline
• 2+ years of experience designing and developing research tools at a tech firm or quant hedge fund
• Experience with systematic portfolio construction for equities a plus
• Strong programming skills in Python
• Experience with kdb, database design, and large datasets
• Willing to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards