Quantitative Analytics Developer - New York, United States - Selby Jennings

    Selby Jennings
    Selby Jennings New York, United States

    Found in: beBee S2 US - 1 month ago

    Selby Jennings background
    Full time
    Description
    Selby Jennings is working with one of the world's premier Hedge Fund. 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.

    Role:

    Quantitative developer who will join the Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products. This is a unique opportunity to grow your career with the team while building the next generation of research and quant trading systems.

    Role/Responsibilities:
    • Developing re-usable and performant C++ libraries for macro instrument analytics (FX, Rates, Credit), to be used for research, back-testing, and live trading
    • Integrating the analytics libraries into the wider python research infrastructure to allow trading teams to use it in their research and trading processes
    • Working with Data Services to source market data to fuel real time and historical analytics
    • Reconciliation of calculations against benchmark sources
      Requirements:
      • 1-5 years of professional software engineering experience in a collaborative environment
      • Bachelor's degree or higher in computer science or other quantitative discipline
      • Understanding of object oriented programming, design patterns, and data structures
      • Experience with software delivery lifecycle and writing production-quality code
      • Familiarity with instrument pricing and risk software patterns
      • Fluency in C++
      • Familiarity in Python
      • Experience in Rates and/or Credit products (e.g., bonds and swaps)
      • Reasonable quantitative and statistical skills
      • Team player with strong pride of ownership
      • Detail oriented and quick learner in a fast-paced environment
      • Commitment to the highest ethical standards