By developing and applying consistent fraud tradeoff, loss avoidance, and decisioning performance frameworks, the analyst translates complex analytics into actionable, decision-ready insights that enable leadership to optimize fraud controls, improve detection effectiveness, reduce customer friction, enhance workload management, and prioritize investments based on measurable enterprise impact. Key Responsibilities: Leverage advanced technical proficiency in SAS/SQL/Python, and related analytical tools to extract, transform, and analyze large-scale fraud data, delivering scalable, data-driven insights that support fraud decisioning, tradeoff analysis, performance measurement, and strategic business decision-making.