Fraud Strategy Data Analyst

About this role

This role analyzes fraud performance data across U.S. Bank's deposit, digital, and payments systems to identify loss drivers, operational inefficiencies, and risks, then translates findings into actionable insights for leadership to optimize fraud controls and customer experience. The position requires someone skilled in translating complex data analysis into business recommendations who can partner effectively across multiple teams including Fraud Strategy, Risk, Operations, and Technology. Proficiency in SAS, SQL, and Python is essential, along with the ability to work with large-scale datasets and develop analytical frameworks that measure fraud tradeoffs and decisioning performance.

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