Research Staff Member

The Voleon Group

Member of Research Staff applying statistical machine learning to Voleon’s AI-driven investment management business. Developing predictive models and validating them in live trading.

Posted 8/4/2026full-timeLondon • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in modern statistical methods and machine learning, with a strong foundation in mathematical abilities and experience in developing and implementing predictive models for financial market applications. Proficient in Python and/or R for production-level coding and capable of collaborating effectively within diverse teams.

Highest-signal resume keywords

Machine LearningStatistical MethodsPython ProgrammingModel DevelopmentPh.D. Degree

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsMachine LearningModel DevelopmentPredictive ModelingData AnalysisLarge-Scale ComputingProduction-Level CodeExperimental DesignPortfolio OptimizationFinancial Market Prediction

Soft Skills

CollaborationTeamworkCommunicationProblem SolvingEagerness to Learn

Industry Keywords

Financial MarketsApplied ResearchInvestment-Strategy ModelsResearch InnovationsLive Trading

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and optimize investment-strategy models
Prepare and analyze new datasets to assess predictive efficacy
Develop, validate, and implement new models into production
Design and conduct experiments to improve simulations and evaluate new models in a live environment
Communicate and collaborate with Members of Research Staff and Software Engineers throughout the applied research lifecycle
Keep up to date with academic research and identify novel approaches for application to financial markets
Apply research to financial market prediction and portfolio optimization
Work across basic research, productizing solutions, and validating efficacy in live trading
Help direct billions of dollars in daily trades

Requirements

What you’ll need

Background in modern statistical methods and machine learning with a track record as an applied researcher
Evidence of strong mathematical abilities, such as publication record, graduate coursework, or competition placement
Interest in software development techniques and willingness to write production-level code; Python and/or R preferred
Ability to solve large-scale computing problems
Eagerness to work in collaborative and diverse teams
Essential interest in financial applications; prior finance industry experience is not required
Ph.D.-level coursework required
Ph.D. degree in a relevant field preferred
Legal authorization to work in the United Kingdom is assessed in the application
Relocation and work visa eligibility available for qualified candidates

Benefits

Comp & perks

Highly competitive compensation and benefits packages
Technology talks by experts
Beautiful modern office
Daily catered lunches
Healthy work-life balance
Relocation and work visa eligibility for qualified candidates
Potential $15,000 referral bonus for a successfully hired and employed referred candidate