Hiring: Fraud Loss Forecasting Analyst Company: U.S. Bank Location: Minneapolis, MN Job Posted Time: 2026-09-03 10:18:58 Target Skills & Keywords : SQL About the job Experience: •Forecasting & Judgment: Demonstrated ability to apply analytical reasoning and business judgment in ambiguous environments. •Analytical Problem Solving: Ability to identify performance drivers, connect disparate data points, and determine which factors materially impact results. •Ownership & Initiative: Proactively drives complex issues to resolution and operates effectively with limited direction. •Communication & Influence: Ability to communicate complex findings to senior leaders, manage stakeholder expectations, challenge assumptions appropriately, and influence decisions through well-supported recommendations. •Strong analytical rigor, attention to detail, and commitment to accuracy. Required Skills: •Lead all aspects of Consumer and Business Banking (CBB) fraud loss forecasting, including daily projections, monthly forecasts, and the annual planning process. You will be responsible for developing data-driven recommendations, challenging assumptions, and providing clear rationale to support forecast decisions. •Own the CBB daily fraud loss projection process end-to-end. •Develop and recommend the monthly fraud loss forecast through data-driven analysis and sound business judgment. •Lead the annual planning process for CBB fraud losses. •Monitor emerging fraud risks, business changes, operational initiatives, and control enhancements; assess potential impacts and proactively incorporate them into forecasts and planning assumptions. •Investigate forecast variances by identifying drivers, explaining performance relative to expectations, and recommending actions. •Identify trends, patterns, and emerging fraud risks through analysis of large and complex datasets. •Translate analytical findings into clear recommendations, reports, dashboards, and executive communications. Qualifications: •Bachelor’s degree, or equivalent work experience •Typically more than six years of applicable experience •Bachelor's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Data Analytics, or a related discipline. Master's degree preferred. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!