Teams at US Bank

Analyze internal fraud risk across business lines by creating recurring management reports, identifying emerging trends and root causes, leading advanced analytical projects, mining complex data sources, assessing control effectiveness, and recommending risk mitigation enhancements. The role collaborates with stakeholders to strengthen fraud risk policies, procedures, monitoring, and governance.

Lead fraud and operational risk analytics, recurring management reporting, data validation, reconciliation, trend analysis, root-cause investigation, control effectiveness reviews, and advanced analytical projects. The role provides actionable risk insights, supports cross-functional stakeholders, and helps migrate analytical data assets, reporting solutions, and monitoring processes to cloud platforms including Azure, Databricks, and cloud data warehouses.

Leads operational risk data analysts and oversees recurring risk reporting, analytics, executive insights, and process improvement. Directs migration of analytical assets, datasets, dashboards, and monitoring processes from legacy systems to cloud platforms such as Databricks and Azure. Partners with risk and business teams to assess emerging risks, fraud, loss drivers, customer impacts, and operational performance. Develops credible challenges, guides analytical approaches, and presents recommendations to senior leadership.