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    Quantitative Analytics Developer - London, United Kingdom - Point72

    Point72
    Point72 London, United Kingdom

    Found in: Talent UK C2 - 1 day ago

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    Description

    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 for Cubist.

    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 across Cubist to use it in their research and trading processes
  • Working with Cubist 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
  • London preferred, but open to candidates in other locations
  • The annual base salary range for this role is $150,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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