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Quantitative Developer - New York- Multi-Asset Class Systematic Trading

Oxford Knight
New York, USA
Closing date
Mar 28, 2024

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Job Function
Industry Sector
Finance - General
Employment Type
Full Time

Research at this leading investment firm is key to continued success: based on rigorous and innovative research, they design and implement systematic, computer-driven trading strategies across multiple liquid asset classes. You'll be exposed to all aspects of the systematic investing business; with lots of project ownership and a collaborative start-up environment, this is a fantastic place to work.


They're looking for a strong quantitative developer to join their growing PM team in New York. Working on critical greenfield projects, you'll build high-performance components for both live trading and simulation, along with increasing automation and robustness of the research infrastructure -- alpha estimation, risk modelling, backtesting, etc.

  • 2+ years' development experience in a similar role
  • Strong programming skills in C++ or Python
  • Bachelor's (or higher) in Computer Science (or other quant discipline)
  • A motivated self-starter, with creative & analytical problem-solving skills

  • Experience working in a small trading team
  • Database experience (SQL, MongoDB, HDF5)
  • Experience with Bash, Git, Docker, CMake

  • Market-leading base + bonuses
  • Meritocratic work culture and environment
  • Excellent professional development
  • Outstanding opportunities for project ownership

If you feel you're a strong candidate for the role and would like further info, please contact:

Greg Leigh-Jones
+1 929-209-9585

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