PhD - London London

Overview

In this role you will conduct ML and statistical research on large datasets to develop predictive models and systematic trading signals. You’ll backtest and deploy models in live trading and contribute to portfolio optimization, collaborating with engineers and traders to improve performance. The work sits at the intersection of research and execution, directly influencing live PnL in fast-paced markets. This is a mission-driven opportunity to advance quantitative methods and ML in trading within a collaborative, research-led environment.

Responsibilities

• Conduct statistical and machine learning research on high-dimensional datasets (including alternative data)
• Develop and improve predictive models, trading signals, and systematic strategies
• Backtest and deploy models in live trading environments
• Contribute to portfolio optimization and risk modeling
• Collaborate with engineers and traders to refine models and drive performance
• Iterate based on model behavior, market dynamics, and new data

Key requirements

• PhD or Postdoc in mathematics, statistics, physics, computer science, engineering, or related quantitative fields
• Strong background in statistical modeling, machine learning, and data analysis
• Proficiency in Python and at least one compiled language (e.g., C++)
• Experience in data-driven research with practical application
• Strong analytical thinking and a track record of solving complex problems
• Excellent communication skills to articulate complex ideas

• communication
• collaboration
• analytical thinking
• statistical modeling
• machine learning
• Python

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