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Machine Learning Researcher at leading Market Maker / Hedge Fund

Oxford Knight

London

On-site

GBP 60,000 - 90,000

Full time

2 days ago
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Job summary

Une entreprise de premier plan dans le domaine des marchés financiers recherche un chercheur en machine learning à Londres. Dans ce rôle, vous serez responsable de l'extraction de signaux à partir de grandes bases de données pour fournir des informations bénéfiques, tout en collaborant étroitement avec différentes équipes pour améliorer les performances commerciales. Vous apporterez une expertise en ML pour développer des solutions innovantes, tout en maintenant un bon équilibre entre vie professionnelle et personnelle.

Benefits

Good work-life balance
Opportunities to attend conferences

Qualifications

  • Expérience extensive en ML.
  • Compétences en programmation dans un langage orienté objet.
  • Capacité à équilibrer pragmatisme et technologie.

Responsibilities

  • Extraire des signaux de grandes quantités de données de marché.
  • Collaborer avec différentes équipes pour maximiser le PnL.
  • Utiliser des techniques de ML pour améliorer la performance quotidienne.

Skills

Machine Learning
Programming
Collaboration
Communication

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:

4

Posted:

29.06.2025

Expiry Date:

13.08.2025

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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

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