Quant Developer (Python/C++) - Model Implementation - New York OR London- Global Hedge Fund | N[...] - Oxford Knight : Job Details

Quant Developer (Python/C++) - Model Implementation - New York OR London- Global Hedge Fund | N[...]

Oxford Knight

Job Location : New York,NY, USA

Posted on : 2025-07-01T16:03:06Z

Job Description :

Location: New York or London

Salary: 200-700k TC

A leading systematic hedge fund investing across a variety of financial markets is seeking a talented Quant Developer to work in the Model Implementation team, based in either New York or London.

This team is comprised of technical and hands-on builders, each wearing multiple hats. In this role, you'll work collaboratively with Researchers, Engineers, and PMs, focusing on the distributed real-time trading system responsible for computing signals and targeting positions for various strategies. You will take ownership of designing and implementing new strategies, identifying and addressing platform bottlenecks, and expanding capabilities to new asset classes.

Requirements
  • BS/MS/PhD in Computer Science (or equivalent)
  • 5+ years' experience as a Quant Developer (or related position)
  • Strong coding experience in Python and C++, with excellent debugging and analytical skills
  • Solid experience with Python data science stack, e.g., Pandas, Numpy, Scikit-learn, etc.
  • Keen proponent of writing automated tests
Rewards and Incentives
  • Competitive base salaries and performance-based bonuses
  • A very collaborative culture where ideas are implemented
  • Work with passionate, forward-thinking, and highly intelligent colleagues

While we review all applications carefully, due to high application volume, we may not respond to unsuccessful applicants.

Contact

If you believe you are a strong match for this role, please contact:

Dominic Copsey

Email: [email protected]

Phone: +44 (0) 203 ### ####

LinkedIn: linkedin.com/in/dom-copsey-586478143/

Welcome to Oxford Knight! We are dedicated international recruiters assisting leading technologists and finance professionals into high-end roles worldwide.

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