Data Scientist (Fraud)

Build and deploy machine learning models that detect fraud and reduce financial crime risk across a fintech platform. Prototype, evaluate, and monitor production-grade models, design experiments to balance customer experience with loss reduction, and develop anomaly detection systems to surface novel fraud vectors early. Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations and prioritization.