Quant Researcher – Medium Frequency – New York OR London

Oxford Knight
London
1 year ago
Applications closed

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Applied AIML Lead- Python & Data Science Engineering

Applied AIML Lead- Python & Data Science Engineering

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 quantitative alpha researcher to work in the machine learning systematic trading team, based in either New York or London.

This team currently researches, builds and maintains systematic trading models in the liquid futures space, and your role will focus on researching and implementing fully automated systematic futures signals with intraday to daily horizons.

To be successful, you’ll need to be a pragmatic developer, with a high attention to detail and analytical problem-solving capabilities.

Requirements

At least 2-4 years of comparable research experience (scalable short- and medium-term alpha) Advanced degree (MS/PhD) in Statistics and/or Computational Math from top-tier institution Strong programming skills: fluency in Python and R is a must, as is the ability to write efficient code Excellent understanding of probabilities, statistics and optimization Experience manipulating large datasets

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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