Quantitative Researcher in London

Location: London
Salary: Hidden
Recruiter: Point72
Job Hours: Full-time

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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:

  • Perform rigorous and innovative research to discover systematic anomalies in global macro markets (futures, FX, etc.)
  • Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in mid frequency trading space
  • Perform feature combination and monetization using various modeling techniques
  • Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
  • Maintain and improve portfolio trading in a production environment
  • Contribute to the analysis framework for scalable research

    • Requirements:

  • Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics
  • 2+ years of signal research experience in macro trading as part of a trading team
  • Prior professional experience with feature engineering, modeling, or monetization
  • Ability to efficiently format and manipulate large, raw data sources
  • Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
  • Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques
  • Collaborative mindset with strong independent research abilities
  • Commitment to the highest ethical standards 




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