Sr. Fraud Risk Management Analyst

U.S. Bank • Minneapolis, MN

1d • $105,400 - $124,000 • Hybrid

About The Position

The Fraud Analytics Risk Analyst supports U.S. Bank’s Enterprise Fraud Risk organization by delivering the analysis that recurring reporting cannot. This analyst investigates fraud losses, claims, complaints, and operational data to identify root causes and emerging risk trends, and provides independent, data-driven credible challenge to business line fraud strategies, processes, and controls.

Requirements

• Bachelor's degree, or equivalent work experience
• Typically more than six years of applicable experience
• Bachelor’s degree in a quantitative field, or equivalent work experience
• Four or more years of experience in analytics, risk management, fraud, financial crimes, or a related field
• Experience querying relational databases and working with large data sets from multiple sources
• Proficiency in at least one analytical language or platform (SAS, SQL, Python, R, or similar), with the flexibility to learn new tools
• Strong written and verbal communication skills, including presenting findings to a business audience
• Experience with fraud, scams, payments, claims, complaints, or operational risk data in financial services
• Experience working with unstructured or free-text data and building categorization logic
• Experience providing credible challenge or independent risk oversight
• Experience with Power BI, Tableau, or similar visualization tools; interest in Databricks and cloud analytics platforms
• Comfort using AI tools such as Microsoft Copilot within an analytical workflow
• Familiarity with regulatory, audit, or governance environments

Responsibilities

• Perform independent, data-driven analyses of fraud losses, claims, complaints, alerts, operational data, and other risk indicators to identify root causes, control gaps, emerging fraud risks, and customer impacts.
• Provide effective second-line credible challenge to business line fraud strategies, detection rules, controls, processes, and performance reporting through analytical deep dives and independent assessments.
• Develop independent benchmarks, thresholds, segmentation frameworks, key risk indicators, and trend analyses to assess changes in fraud exposure, control effectiveness, customer outcomes, and loss performance.
• Design and maintain transparent, repeatable, and auditable analytical methodologies, monitoring frameworks, and governance processes that can be independently validated, refreshed, and reproduced as new data becomes available.
• Proactively identify emerging fraud threats, control weaknesses, and monitoring opportunities by sourcing and analyzing relevant data assets, developing actionable insights, and recommending risk mitigation actions to business and risk management stakeholders.
• Assess the fraud risk implications of significant business, product, strategy, model, vendor, and technology changes through independent impact analyses and provide risk-based recommendations.
• Support strategic data and cloud modernization initiatives involving fraud analytics, monitoring solutions, reporting assets, and analytical controls, including migration to Databricks, Azure, cloud data platforms, and enterprise data domains.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Senior