Manager, Fraud Detection and Data Analytics

Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement using Python, SQL, and analytical tools. Implement fraud detection strategies in a real-time fraud decisioning engine and support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. Collaborate with data scientists, fraud strategists, and business stakeholders to communicate insights that drive product changes and data-informed strategies. Contribute to continuous program improvement through rule and model refinement, fraud hunting, and data discovery. This onsite role requires a Bachelor's or Master's degree with 3–5+ years of experience in data analytics, fraud detection, or risk domains.