Head of Data

About R77 GlobalR77 Global is a talent advisory partner connecting high-calibre professionals with ambitious organisations across iGaming, fintech, payments, financial services, technology and Web3. We represent opportunities with discretion and give candidates a clear, honest view of the role, its expectations and the environment they would be joining.The opportunityR77 Global is supporting our client in appointing a This is a hands-on leadership position for someone who can establish a strong quantitative team, develop production-grade models and work credibly across trading, engineering, artificial intelligence and data-platform functions.The opportunityYou will define the quantitative and data strategy supporting sportsbook pricing and trading automation across pre-match and in-play markets.The role combines leadership, quantitative modelling, data quality, model governance and real-world production delivery. You will help move the trading organisation toward a model-led operating structure in which traders increasingly supervise models, manage exceptions and apply expert judgement where human intervention adds value.You will report to a senior research and development leader and work closely with the executive responsible for trading.Key responsibilitiesBuild, lead and develop the quantitative trading and data capability.Define the strategy and operating model for automated pricing, risk and liability management.Develop and improve pre-match and in-play pricing models.Establish risk and liability models with appropriate limits, controls, human overrides and auditability.Create a clear, gated automation roadmap across sports, markets and trading functions.Improve bet-builder and same-game pricing capabilities.Improve cash-out valuation and related pricing logic.Support personalisation and intelligent market-availability decisions.Establish a practical sequence for introducing and expanding trading automation.Define and monitor model-quality measures, including margin, hold and pricing accuracy.Ensure models can be reliably productionised, monitored and improved.Work closely with engineering, AI and data-platform teams on the infrastructure behind the models.Improve the quality, availability and governance of the data used for quantitative decision-making.Help redefine the trader’s role toward model supervision, exception handling and informed intervention.Communicate complex quantitative concepts clearly to traders, engineers, product leaders and executives.Recruit, mentor and retain a high-performing quantitative team.What success looks likeAn initial set of autonomous in-play football pricing capabilities is operating reliably.Risk and liability limits are model-driven while retaining controlled human override and auditability.A clearly governed roadmap determines which sports and markets are automated next.Bet-builder and cash-out pricing quality improves measurably.Model performance is measured consistently through agreed operational and commercial indicators.Trading and quantitative teams operate through a clear automation-led model.Market availability expands without compromising pricing quality or risk control.Data quality, model monitoring and production reliability improve.Experience and capabilitiesSignificant experience building automated pricing, quantitative trading or risk systems at scale.Strong understanding of statistical modelling, machine learning, stochastic modelling or related quantitative methods.Experience taking models from research into monitored production environments.Evidence of measuring model quality and commercial performance.Experience leading quantitative, data-science or closely related technical teams.Strong understanding of data pipelines, model lifecycle, data quality and governance.Confidence working directly with traders, engineers and senior business leaders.Practical understanding of modern AI-assisted development and modelling tools.Sportsbook trading experience is strongly preferred.Relevant experience from high-frequency trading or another sophisticated real-time pricing environment may also be considered.Strong communication, leadership and stakeholder-management skills.PackageThis is a senior international leadership appointment. The package is open and will reflect the successful candidate’s experience. Equity participation may form part of the overall offer.How to applyPlease apply through R77 Global with a CV that clearly describes the production systems you have owned, together with a short note outlining one of the most difficult production issues you have diagnosed and the evidence that led you to the solution.Candidates selected for an initial discussion will receive a more detailed technical brief covering the platform, responsibilities and selection process. All applications will be handled confidentially.