Machine Learning Researcher at leading Market Maker / Hedge Fund

Oxford Knight; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading Market Maker in London is seeking a Machine Learning Researcher to extract insights from extensive market data. The ideal candidate will have extensive ML experience and strong programming skills, working collaboratively across teams to enhance performance. This role promotes a good work-life balance while shaping the future of ML in the industry.

Responsibilities

• Extract signals from vast datasets of market data.
• Generate alpha in trading and collaborate with teams.
• Utilize ML to improve performance and efficiency.

Skills

Extensive ML experience

Strong programming skills in any OO language

Collaborative nature with excellent communication skills

Ability to balance pragmatism and great tech

Shape the firm's ML developments

Attend conferences

Good work-life balance

Job description

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Machine Learning Researcher at leading Market Maker / Hedge Fund, 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:

0546409afb07

Job Views:

17

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Client:

One of the world’s top market makers is expanding their Machine Learning and related AI teams. Already a market-leader, in the past few years they have invested extensively in their data offerings and are ready to expand their ML and AI teams to stay ahead of the curve.

A cross-asset liquidity provider, they do a huge volume of trades daily and are working with massive data sets that require enormous computational power.

Role:

You’ll be extracting signals from vast datasets of market data to gain beneficial insights. Your time could be split between alpha generation in a trading team and time in the core engineering team – working very collaboratively as a firm to maximise PnL for the collective. For example, if you’re sat on an FX desk and find something useful, you’ll share the knowledge with the Equities team. You’ll be using ML to find ways to cut through the noise – how can you improve day-to-day performance with ML techniques? Is there AI assistance you can utilise to make everyone’s life easier – from traders to operations, and ML tools for engineers?

Requirements:

• Extensive ML experience
• Strong programming skills in any OO language
• Collaborative nature with excellent communication skills
• Ability to balance pragmatism and great tech
• Shape the firm and, to an extent, the industry’s ML developments
• Attend conferences
• Good work-life balance

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.