Quantitative Analyst – Execution Research

Quantitative Analyst – Execution Research role focusing on building automated betting strategies using predictive models to market-make and seed bookmakers, market exchanges and prediction markets. Responsibilities include developing betting and market-making strategies for pre-match and in-play, identifying weaknesses and improvements in existing strategies/models, supporting pricing tasks by maintaining mathematical libraries, performing statistical analyses of datasets, communicating results to stakeholders, and potentially mentoring junior team members. Requires MSc/PhD in statistics or related field (or equivalent experience) with 3+ years in a relevant role, extensive probabilistic/statistical modelling, model diagnostics, and strong programming in Python or R; a collaborative, reproducible research mindset and ability to work autonomously within structured coding standards. Preferred experience includes market-making on betting exchanges, automated trading systems, knowledge of Bayesian/state-space methods, ML techniques, large datasets, and football analytics. Located in London, UK; role is in-person.