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Quant Developer (Python/C++) - Model Implementation - New York OR London- Global Hedge Fund

Oxford Knight
London
1 year ago
Applications closed

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Senior Quant/Risk Professional - Machine Learning, Surveillance

Quantitative Data Engineer

Location:New York or London

Salary:200-700k TC

A leading systematic hedge fund investing across a variety of financial markets, my client 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, and in this role you'll be expected to do the same. Working collaboratively with Researchers, Engineers and PMs on the team, your primary focus will be the distributed real-time trading system responsible for computing signals and targeting positions for various strategies. You'll take ownership of design and production implementation of new strategies, lead efforts to identify and tackle platform bottlenecks, as well as 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 outstanding 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
  • Very collaborative culture, ideas are implemented
  • Work with passionate, forward-thinking, incredibly smart people



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