The Company is seeking a Head of Quantitative Trading to lead the transformation and future development of its trading function. The successful candidate will be responsible for building and leading a quantitative team that focuses on in-play and pre-match pricing models, risk and liability models, and trading automation. This role involves owning the models behind various product features, setting automation sequences in collaboration with R&D and AI teams, and ensuring model quality. The Head of Quantitative Trading will also be instrumental in redefining the role of human traders and will work closely with the R&D trading teams and AI core to productionize models and enhance the data platform. Candidates for this role should have a deep quantitative background with hands-on modeling ability, and experience in building or running automated pricing and risk models at scale, preferably in a sportsbook or high-frequency trading environment. The role requires a rigorous approach to measurement, an AI-first work methodology, and the ability to be credible with both traders and engineers. Success in the first 12 months will be measured by the implementation of autonomous in-play football pricing, automated risk and liability limits, and the development of a clear roadmap for automation in other sports and markets. The Head of Quantitative Trading will also be expected to improve market availability and pricing quality, and to redesign the trading operating model around automation in agreement with trading leadership.