Head of Fraud & Risk Data Science

Lead end-to-end POCs and POVs with prospective customers to demonstrate fraud-loss reduction and ROI using Sardine’s risk engine. Build, optimize, and scale real-time decision systems combining ML models, features, and rules across billions of events. Hire, coach, and mentor a team of fraud analysts and data scientists. Implement experimentation frameworks (A/B tests, bandit models) to safely validate new strategies. Partner with Product, Engineering, and Commercial teams to embed insights into dashboards, APIs, and pricing strategies. Present findings and strategies to customers, execs, and external stakeholders. Drive roadmap thinking on new signals, feature builds, and feedback loops to make the platform smarter and faster.