Medium Frequency Quant Researcher (Pipeline Team)

Oxford Knight; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A quantitative research firm in London seeks a Medium Frequency Quant Researcher for their machine learning systematic trading team. The role involves researching and implementing fully automated systematic futures signals. Candidates should possess 2-4 years of relevant experience and preferably hold an advanced degree in Statistics or Computational Math. Proficiency in Python and R is essential.

Qualifications

• At least 2-4 years of relevant research experience.
• Excellent understanding of probabilities, statistics, and optimization.

Responsibilities

• Research and implement automated systematic futures signals.
• Build and maintain systematic trading models in liquid futures.

Skills

Researching scalable short- and medium-term alpha

Programming fluency in Python

Programming fluency in R

Attention to detail

Creative thinking

Education

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

Job description

Social network you want to login/join with:

Medium Frequency Quant Researcher (Pipeline Team), London

col-narrow-left

Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

db83cae3134a

Job Views:

10

Posted:

12.08.2025

Expiry Date:

26.09.2025

col-wide

Job Description:

Summary

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