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Fraud Decisioning Analyst

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: U.S. Bank
Full Time position
Listed on 2026-06-03
Job specializations:
  • Finance & Banking
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Overview

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.

Note: This position is not eligible for current or future visa sponsorship.

Responsibilities
  • Analyze fraud decisioning performance across enterprise alert volumes, evaluating alert drivers, decision outcomes, false positive rates, and queue dynamics to identify performance gaps and inefficiencies.
  • Assess end‑to‑end alert lifecycle and workflow performance, including queue throughput, capacity utilization, and case handling efficiency, to improve operational effectiveness and scalability.
  • Conduct root‑cause analysis on alert behavior and decision outcomes, identifying drivers of unnecessary alerts, missed detection opportunities, and workflow bottlenecks.
  • Develop and maintain performance metrics and reporting frameworks that provide transparent, consistent views of alert effectiveness, benefit, decision accuracy, and operational impact.
  • Identify and quantify optimization opportunities to improve fraud detection outcomes, reduce customer friction, and balance workload across fraud mitigation teams, using data‑driven analysis.
  • Translate complex, execution‑level analytics into actionable insights and recommendations, enabling stakeholders to improve decisioning outcomes and workflow efficiency.
  • Partner with Fraud Mitigation Solutions (FMS) and Fraud Strategy teams to align on performance insights, validate findings, and support continuous improvement initiatives.
  • Support evaluation of fraud controls and decisioning approaches in production, providing analytical input on performance impacts without directly designing or implementing rules.
  • Monitor emerging trends, anomalies, and shifts in alert behavior to identify new risks, changing fraud patterns, or degradation in performance.
  • Ensure analytical rigor and data integrity, validating assumptions, methodologies, and outputs to support confident, decision‑ready insights.
Additional Expectations
  • 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.
Basic Qualifications
  • Bachelor’s degree, or equivalent work experience
  • Typically more than eight years of applicable experience
Preferred Skills/Experience
  • 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
Location Expectations

This role requires working from a U.S. Bank Location three (3) or more days per week.

Benefits

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That s why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical, dental,…

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