Medium Frequency Quant Researcher (Pipeline Team)- Global Hedge Fund

Oxford Knight; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global hedge fund in London is seeking a Medium Frequency Quant Researcher to join their machine learning systematic trading team. The role involves researching and implementing automated trading models. Ideal candidates will have 2-4 years of experience, an advanced degree in Statistics or Computational Math, and strong programming skills in Python and R. Attention to detail and creativity are essential traits for this position.

Qualifications

• 2-4 years of research experience required.
• Strong preference for advanced degrees in Statistics and/or Computational Math.
• High attention to detail is necessary.

Responsibilities

• Research and implement automated systematic futures signals.
• Work within the machine learning systematic trading team.
• Maintain systematic trading models in the liquid futures space.

Skills

Researching scalable short- and medium-term alpha

Fluent in Python

Fluent in R

Understanding of probabilities

Experience manipulating large datasets

Creative thinking

Education

Advanced degree (MSc or PhD) in Statistics or Computational Math

Job description

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Medium Frequency Quant Researcher (Pipeline Team) - Global Hedge Fund, London

Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9e03b5926308

Job Views:

5

Posted:

12.08.2025

Expiry Date:

26.09.2025

Job Description:

Summary

My client is looking to hire a quantitative alpha researcher to work within their machine learning systematic trading team that researches, builds, and maintains systematic trading models in the liquid futures space. The candidate's primary responsibilities include researching and implementing fully automated systematic futures signals with intraday to daily horizons. Suitable candidates will generally have 2-4 years of research experience.

Requirements

• 2-4 years of experience researching scalable short- and medium-term alpha
• An advanced degree (MSc or PhD) from a top-tier institution is preferred
• Strong preference for advanced degrees in Statistics and/or Computational Math
• Excellent understanding of probabilities, statistics, and optimization
• Experience manipulating large datasets
• Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
• High attention to detail
• Creative thinker

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

Contact

If this sounds like you or you'd like more information, please get in touch:

George Hutchinson-Binks

([phone]

linkedin/in/george-hutchinson-binks-a62a69252

Job ID: I1jxpVrOYCDr