The Quantitative Developer will build live trading components, enhance portfolio construction methodologies, maintain platform stability, and troubleshoot system issues.
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 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
Top Skills
Kdb
Python
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