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Python Developer New
Cubist Systematic Strategies
New York, NY, USA

Job Title

Python Developer

Job Description

  • Building a robust, scalable research infrastructure, including alpha estimation and risk modeling componen
  • Developing a seamless platform to handle all aspects of quant trading – model building, optimization, and trade execution
  • Building high-performance/low-latency modular systems for live trading and simulation
  • Developing robust data checking and storage procedures
  • Developing a graphic interface to monitor market/trade/position/risk
  • Maintaining the system, ensuring its stability, robustness and security
  • Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements


  • No telecommuting
  • No Agencies Please


  • Undergraduate or higher degree in Computer Science, Mathematics, or other quantitative discipline.
  • Strong programming experience in Python (3+ years) is required.
  • Strong SQL experience is required.
  • High skilled technologist with reasonable quantitative skills.
  • Experience in developing backtesting, simulation, and trading systems is a plus.
  • Detail-oriented.
  • Willing to take ownership of his/her work, working both independently and within a small team.

About the Company

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.

Contact Info

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