Quantitative Researcher

Cricket Quantitative Researcher | Sports Betting Hedge Fund | London or LeedsPython • TensorFlow • Statistics • Sports ModellingPlease note: This role cannot offer visa sponsorship. Applications requiring sponsorship cannot be considered.We're partnering with a cutting-edge sports betting hedge fund in London or Leeds that's building some of the most sophisticated predictive models in the industry. If you're passionate about statistics, machine learning, and cricket analytics, this is an opportunity to work on high-impact research that directly drives trading performance.What You'll Be DoingDevelop and refine probabilistic models to predict sporting outcomesExtract insights from large-scale sports and market datasetsResearch, test and deploy innovative modelling approachesWork alongside elite quants, researchers and traders solving complex real-world problemsContribute to a culture built around experimentation, data-driven decision making and continuous improvementWhat We're Looking For2+ years' experience in the sports betting industryStrong academic background in Statistics, Mathematics or a related quantitative fieldExperience within electronic trading environmentsAdvanced Python skills (NumPy, Pandas, TensorFlow)Excellent academic track record (top grades throughout education)Kaggle profile or demonstrable hands-on modelling/research experienceInterest or expertise in cricket is highly desirableExposure ToGeneralised Linear Models (GLMs)Bayesian Modelling Methods (BMMs)Kalman FiltersMCMC TechniquesTrueSkill Ranking SystemsAdvanced sports forecasting and pricing modelsWhy Join?✅ Work on some of the industry's most challenging quantitative problems✅ Collaborate with exceptional quants and researchers✅ Significant ownership and impact on live trading strategies✅ Clear progression opportunities within a fast-growing quantitative team✅ Highly technical, research-driven environmentIf you're a quantitatively-minded researcher with a passion for sports modelling and cricket, we'd love to hear from you.