Fraud Tradeoff Analyst

U.S. Bank • Minneapolis, MN

17d • Onsite

About The Position

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description The Fraud Tradeoff Analyst provides enterprise‑level analytical insight into the tradeoffs between fraud risk reduction, customer experience, operational efficiency, and financial outcomes across deposits, digital, payments, authentication, and the end‑to‑end account lifecycle. This role applies advanced analytics to identify material loss drivers, customer friction points, operational inefficiencies, and emerging fraud risks—ensuring fraud decisions are grounded in measurable business impact rather than isolated metrics. By developing and applying a consistent fraud tradeoff and loss‑avoidance framework, the analyst enables leadership to prioritize initiatives, allocate investment, and optimize controls holistically. The Fraud Tradeoff Analyst partners closely with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams to translate complex analysis into clear, decision‑ready insights that support enterprise-wide fraud outcomes.

Requirements

• Bachelor’s degree, or equivalent work experience
• Typically more than eight years of applicable experience

Nice To Haves

• Comprehensive knowledge of all departmental data sources, and of fraud risk and operations management associated with the product lines
• Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends
• Strong project management skills
• Effective verbal and written communication skills
• Proficient computer navigation skills using a variety of software packages including Microsoft Office applications and data analysis software

Responsibilities

• Analyze enterprise fraud performance across deposits, digital, payments, authentication, and account lifecycle domains to identify material loss drivers, customer friction, operational impacts, and emerging risks.
• Develop and apply a fraud tradeoff framework to evaluate initiatives across fraud loss reduction, customer experience, operational efficiency, and financial impact, enabling clear, data-driven prioritization decisions.
• Engineer and maintain fraud loss‑avoidance methodologies, ensuring consistent, audit-ready measurement of net benefit, including losses avoided, review costs, false‑positive friction, and revenue impacts.
• Perform advanced and ad‑hoc analytics to assess control effectiveness, conduct root-cause analysis on fraud events, and identify optimization or decommissioning opportunities.
• Support strategic sizing and business cases by quantifying expected benefits, costs, risks, and tradeoffs for fraud initiatives, tools, and enhancements.
• Partner with Fraud Strategy, Risk, Operations, Digital, and Technology teams to align priorities, evaluate tradeoffs, and drive measurable outcomes from analytics‑informed initiatives.
• Collaborate with modeling and AI/ML teams to support predictive fraud capabilities through analytical input, performance assessment, and value tracking.
• Translate complex analytics into clear, executive-ready insights and narratives, ensuring findings inform action, investment decisions, and continuous improvement.
• Ensure analytical rigor and data quality, validating assumptions, strengthening methodologies, and promoting transparent, decision-ready metrics used confidently by stakeholders and governance forums.
• Assess operational impacts of fraud controls, including alert volumes, review capacity, false-positive burden, and workflow efficiency, identifying opportunities to reduce friction while maintaining effective risk mitigation.
• Leverage approved AI‑enabled productivity tools to improve efficiency, quality, and effectiveness of work outputs, applying sound judgment to validate results and ensure responsible, compliant use in accordance with company policies.
• Develops and delivers data‑driven insights and narratives to inform decision-making and support business objectives.
• Perform additional duties and assume evolving responsibilities as needed to support changing business priorities, organizational needs, and strategic objectives.
• Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures.

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: Mid Level
• Number of Employees: 5,001-10,000 employees