Quantitative Developer New York, Chicago

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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.RESPONSIBILITIESDeveloping trading and research infrastructureBuilding high-performance components for both live trading and simulationDeveloping tooling to handle aspects of quant trading (e.g. data pipelines, modeling, trade execution)Distributed computing focusMaintaining and updating the platform, ensuring its stability, robustness, and securityTroubleshooting and resolving any systems related issues and handling the release of code fixes and enhancementsREQUIREMENTSA highly skilled technologist with quantitative skillsBachelors or Masters in computer science or other quantitative discipline5+ years of professional software development experiencePrevious exposure to quant finance a plusStrong architectural design skills and understanding of performance tradeoffsStrong programming skills in Python or Golang on a Linux stack

Expertise with basic data science ecosystem (Pandas or Polars) and scientific computing stack (NumPy, SciPy)

Strong project management skills, i.e. the ability to manage multiple tasks and deadlines in a fast-paced environmentAbility to work cooperatively with all levels of staff and to thrive in a team-oriented environmentCommitment to the highest ethical standards

#J-18808-Ljbffr