Quant Researcher – Medium Frequency – New York OR London

Oxford Knight; London; On-site; GBP 70,000 - 90,000; 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 requires 2-4 years of research experience, strong programming skills in Python and R, and an advanced degree in Statistics or Computational Math. This position offers competitive salaries, performance-based bonuses, and an opportunity to collaborate with passionate team members.

Benefits

Competitive base salary

Performance-based bonuses

Collaborative culture

Qualifications

• 2-4 years of comparable research experience in systematic trading.
• Fluency in Python and R is essential.
• Excellent understanding of statistics and optimization.

Responsibilities

• Researching and implementing systematic futures signals.
• Building and maintaining systematic trading models.

Skills

Research experience

Programming in Python

Programming in R

Understanding of probabilities

Analytical problem-solving

Education

Advanced degree 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:

17

Posted:

12.08.2025

Expiry Date:

26.09.2025

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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

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.