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Fraud Risk Analyst
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-08-03
Listing for:
U.S. Bank
Full Time
position Listed on 2026-08-03
Job specializations:
-
Finance & Banking
Financial Analyst, Banking Analyst
Job Description & How to Apply Below
Minneapolis, MN:
Fargo, ND:
Milwaukee, WI:
Cincinnati, OH:
Charlotte, NCtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 26, 2026 (27 days left to apply) job requisition :
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
****
* NOTE:
This position is not eligible for current or future visa sponsorship.
*** The Fraud Risk Analyst develops data-driven insights and strategies that strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and the end-to-end account lifecycle. This role combines advanced analytics, strategic problem-solving, and cross-functional collaboration to identify emerging fraud risks, uncover root causes, and support proactive loss mitigation.
The analyst works with a broad range of internal stakeholders and external partners to evaluate tools, data sources, and capabilities that enhance fraud detection and decisioning. By translating complex analytical findings into executive-ready insights and cost-benefit assessments, the role informs strategic decision-making while balancing fraud risk reduction, customer experience, operational efficiency, and financial impact.
** Key Responsibilities*
* • Analyze complex, multi channel fraud trends and performance data to identify emerging risks, root causes, and opportunities for proactive loss mitigation across the account lifecycle.
• Develop data driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency.
• Collaborate with a broad range of internal stakeholders and external partners to evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning.
• Translate complex analytical findings into clear, executive ready insights that inform enterprise fraud strategy, prioritization, and decision making.
• Evaluate the effectiveness of fraud controls and initiatives using key metrics, scenario analysis, and model adjacent analytics; identify control gaps and recommend targeted enhancements.
• Drive value led prioritization through cost benefit analysis, focusing resources on initiatives that deliver the greatest fraud risk reduction and business value while adhering to regulatory and internal control requirements.
• Develop recurring analytics, performance assessments, and recommendations that measure fraud-control effectiveness, authentication performance, fraud trends, and operational outcomes.
• Evaluate authentication strategies, fraud-detection rules, and contact-center fraud controls through data-driven analysis to identify performance gaps and optimization opportunities.
• Support testing, implementation reviews, and post-implementation assessments of fraud-control enhancements, rule changes, and decisioning strategies.
• Develop presentations, analytical summaries, and supporting materials for leadership discussions and monthly business reviews (MBRs), translating complex findings into actionable insights.
** Additional Expectations*
* • Utilize approved analytics, AI, and technology solutions while applying appropriate judgment and validation of results.
• Demonstrate strong written, verbal, and presentation communication skills.
• Effectively translate complex analytical findings into clear and actionable insights.
• Manage multiple assignments and priorities while meeting established deadlines.
** Basic Qualifications*
* • Bachelor’s degree or equivalent work experience.
• Typically more than six years of applicable experience
** Required Programming Experience
** Six…
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