Member of Research Staff (London)

Overview

In this role, you apply advanced statistical ML to financial market prediction and portfolio optimization, shaping models that drive real trading decisions. You join a collaborative research-centric team at a leading AI-driven asset manager with strong academic ties. You will translate research into production-ready solutions and directly impact billions of dollars in trades. This position offers a chance to work at the intersection of academia and live markets, with opportunities to influence strategy and methodology.

Pay / Benefits

• highly competitive compensation
• comprehensive benefits packages
• technology talks by experts
• daily catered lunches
• modern office
• good work-life balance

Responsibilities

• Develop research innovations and experiments to improve models that govern the investment strategy
• Prepare and analyze new datasets to evaluate predictive efficacy
• Develop, validate, and implement new models into production
• Design experiments to improve simulations and test models in live environments
• Communicate and collaborate with Research Staff and Software Engineers to drive tangible outcomes
• Stay current with the latest academic research to identify novel approaches

Key requirements

• Background in modern statistical methods and machine learning with a track record as an applied researcher
• Strong mathematical abilities evidenced by publications, graduate coursework, or competitions
• Interest in software development and willingness to produce production-level code (Python and/or R)
• Ability to solve large-scale computing problems
• Eagerness to work in collaborative and diverse teams
• Interest in financial applications is essential; prior finance experience not required
• Ph.D. level coursework is required and a Ph.D. degree in a relevant field is preferred

• Collaborative mindset
• Strong communication skills
• Problem-solving and analytical thinking
• Modern statistical methods and machine learning
• Python and/or R production-level coding
• Large-scale computing

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