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.
Role / Responsibilities :
- 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
Requirements :
Master’s degree or higher in mathematics, statistics, computer science, or other quantitative discipline2+ years of experience designing and developing research tools at a tech firm or quant hedge fundExperience with systematic portfolio construction for equities a plusStrong programming skills in PythonExperience with kdb, database design, and large datasetsWilling to take ownership of his / her work, working both independently and within a small teamCommitment to the highest ethical standards