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Oxford Knight

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

Oxford Knight, New York, New York, us, 10261


ClientResearch 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.

RoleThey'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.

Requirements2+ years' development experience in a similar roleStrong programming skills in C++ or PythonBachelor's (or higher) in Computer Science (or other quant discipline)A motivated self-starter, with creative & analytical problem-solving skills

DesirableExperience working in a small trading teamDatabase experience (SQL, MongoDB, HDF5)Experience with Bash, Git, Docker, CMake

BenefitsMarket-leading base + bonusesMeritocratic work culture and environmentExcellent professional developmentOutstanding opportunities for project ownership

ContactIf you feel you're a strong candidate for the role and would like further info, please contact:Greg Leigh-Jonesgregleighjones@oxfordknight.com+1 929-209-9585linkedin.com/in/greg-jones-8a457011a

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