Quant Researcher – Medium Frequency – New York OR London

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

A leading systematic hedge fund is seeking a Quant Researcher to join their machine learning systematic trading team in London. The role focuses on researching and implementing automated trading signals, requiring strong programming skills in Python and R, and an advanced degree in Statistics or Computational Math. The successful candidate will thrive in a collaborative environment and contribute to innovative trading strategies.

Benefits

Competitive base salaries and performance-based bonuses

Collaborative culture where ideas are implemented

Work with passionate and intelligent colleagues

Qualifications

• 2-4 years of comparable research experience in alpha research.
• Fluency in Python and R required.
• Excellent understanding of probabilities, statistics, and optimization.

Responsibilities

• Research and implement fully automated systematic futures signals.
• Maintain systematic trading models in the liquid futures space.

Skills

Programming in Python

Programming in R

Statistical analysis

Problem-solving

Education

Advanced degree (MS/PhD) in Statistics or Computational Math

Job description

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Quant Researcher – Medium Frequency – New York OR London, London

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Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

4f13e734f982

Job Views:

3

Posted:

21.05.2025

Expiry Date:

05.07.2025

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Job Description:

Location: New York or London

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

Rewards and Incentives

• Competitive base salaries and performance-based bonuses
• Very collaborative culture, ideas are implemented
• Work with passionate, forward-thinking, incredibly smart people