Data Scientist, Fraud Detection, temporary position

Design models and strategies to detect transactional anomalies and explore information to understand active fraud schemes. Develop and deploy fraud mitigation models into production while continuously monitoring their performance against evolving patterns. Research predictive variables to improve detection accuracy and optimize analytics processes through automation. Create dashboards and reports to synthesize insights on member and client behavior, providing ad hoc advice to risk management teams. Monitor industry trends to update best practices for fraud risk management tools.