Quantitative Developer New New York

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 portfoliosBuilding tools for simulation, portfolio construction, dashboards, and the research frameworkDesigning and deploying new features to improve portfolio construction methodology and processMaintaining and updating the platform, ensuring its stability, robustness, and securityIdentifying deficiencies in the trading platform and deploying solutionsDeveloping robust data checking and storage proceduresTroubleshooting and resolving any systems related issues and handling the release of code fixes and enhancementsREQUIREMENTS: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

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