Fraud Risk Analyst

About this role

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: SAS programming experience i s required for this position

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 or more years of hands-on SAS programming experience is required. Experience with SQL, Python, and other analytical tools is preferred.

​ Preferred Skills/Experience •            Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field. •            Extensive data analytics experience in fraud analytics, fraud prevention, risk management, financial services, cybersecurity, or a related field, and experience translating findings into business recommendations. •            Knowledge of financial services products, systems, and data, preferably within the fraud domain. •            Proficient computer skills, especially Microsoft Office applications and data analysis software. •            Experience developing analytics, performance assessments, presentations, and recommendations that support business decision-making. •            Excellent presentation, interpersonal, written, and verbal communication skills. •            Exceptional problem solving, critical thinking, and troubleshooting skills. •            Ability to prioritize and manage multiple tasks while establishing responsible deadlines. •            Flexibility in day-to-day work and tolerance for ambiguity. •            Positive ‘can-do’ attitude and a strong desire to continue to learn and ask questions. •            The ability to work well in a team environment. •            Ability to build relationships cross-functionally and over the phone. •            Ability to work with and influence at all levels of the organization, including senior leadership. •            Understanding of fraud schemes, digital identity, authentication, and operational fraud processes. •            Experience evaluating fraud-control effectiveness, fraud-detection strategies, authentication approache

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