Data Scientist (Fraud)

Build and deploy machine learning models for fraud detection, including ongoing monitoring and retraining. Design experiments to evaluate fraud interventions and balance customer experience with loss reduction. Analyze fraud typologies across product lines, and develop anomaly detection systems to catch emerging fraud vectors early. Partner with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.