Machine Learning Researcher β€” Cross-Asset Alpha

Machine Learning Researcher β€” Cross-Asset Alpha

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Oxford Knight

At a Glance

  • Tasks: Extract signals from market datasets and generate actionable insights for trading.
  • Company: Oxford Knight, a leading firm in machine learning and finance.
  • Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
  • Other info: Dynamic role with exposure to both trading and engineering teams.
  • Why this job: Make a real impact on trading decisions using cutting-edge ML techniques.
  • Qualifications: Experience in machine learning and strong analytical skills.

The predicted salary is between 70000 - 90000 Β£ per year.

Oxford Knight is seeking a talented ML professional to extract signals from vast market datasets and generate actionable insights, driving smarter decisions across trading desks.

You’ll split time between alpha generation in a trading team and time in the core engineering team, collaborating with traders, operations and ML engineers to maximise performance and Pn L.

You’ll use ML techniques to cut through the noise and share knowledge across teams.

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Machine Learning Researcher β€” Cross-Asset Alpha employer: Oxford Knight

As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.

Oxford Knight

Contact Details:

Oxford Knight Recruitment Team

We think you need these skills to ace Machine Learning Researcher β€” Cross-Asset Alpha

Machine Learning Techniques
Data Extraction
Signal Processing
Market Data Analysis
Collaboration Skills
Performance Optimisation
Profit and Loss (PnL) Management