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. 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.