Sports quant analyst - betting syndicate build out from an established firm London Compensation: Competitive, with flexibility for exceptional domain expertise Hybrid working - potential to be remote outside of UK I'm looking for a quant analyst to join this growing quant & data science team with a strong background in mathematical modeling and statistics, ideally with expertise in sports models. This role offers the freedom to build models from the ground up, shaping the direction of this firms sports analytics. What You’ll Be Working On: Developing fundamental models for sports, for example : American football, baseball, tennis, and ice hockey Pricing same-game parlays with a focus on rigorous statistical methods Applying Bayesian inference, filtering techniques, and advanced mathematical stats Collaborating with quant engineering teams to build dashboards and implement models Driving innovation within a startup-style environment backed by an established company Helping shape proprietary betting strategies, bet builders, and sportsbook feeds Who We’re Looking For: Strong academic background (Bachelor’s/Master’s; PhD is a plus but not required) Strong years of experience in a reputable syndicate or quantitative team Deep domain knowledge in sports (American football/baseball is a bonus!) Experience building models from first principles, rather than tweaking existing frameworks Proficiency in R, Python, or other relevant programming languages Why Join Us? Creative autonomy – take ownership of your sport and drive innovation Start-up culture within an established company – flexibility to explore cutting-edge strategies A growing quant team with long-term ambitions (20-25 people planned) Opportunity to be involved in major industry shifts, including expansion into regulated Asian markets This is a high-impact role where the right candidate will shape the direction of their sports models. Interested? Get in touch.