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 We are hiring for an exciting opportunity as a Fraud Risk Analyst within U.S. Bancorp’s Quantitative Fraud Strategy team. In this role, you will support fraud prevention, detection, and rule management efforts through data analysis and performance monitoring across digital banking and money movement products.
Success in this position requires strong analytical capabilities, a curiosity for understanding fraud trends, and experience working with data using tools such as SAS, SQL, or Python. You will analyze fraud rule performance, identify emerging risks, and provide insights that help drive targeted enhancements to fraud mitigation strategies. The ideal candidate is passionate about protecting customers, enjoys solving complex analytical problems, and thrives in a collaborative environment.
Operating with guidance from experienced team members and management, this role focuses on analyzing fraud performance, evaluating rule effectiveness, and supporting recommendations that strengthen U.S. Bancorp’s fraud prevention capabilities while maintaining an appropriate customer experience. You will work closely with fraud operations, technology, risk management, and business partners to investigate anomalies, identify performance shifts, and conduct root-cause analysis that informs control enhancements and fraud mitigation efforts.
This role supports rule strategy development across key areas including First Party Fraud, Third Party Fraud, Account Takeover, Scam, and Identity Theft scenarios. Success in this position requires strong analytical thinking, effective communication skills, and the ability to translate complex findings into clear, actionable recommendations that support sound fraud risk management decisions. Primary Responsibilities Analyze fraud rule performance, alert outcomes, customer impacts, and loss trends across digital channels to assess effectiveness and identify opportunities for improvement.
Leverage large and complex datasets to identify emerging fraud patterns, performance shifts, and analytical insights that support fraud mitigation efforts. Develop data-driven recommendations that balance fraud risk mitigation, customer experience, and operational efficiency. Conduct root-cause analysis on fraud events, performance anomalies, and operational trends to support rule enhancements and control improvements.
Partner with fraud operations, technology, risk management, and cross-functional teams to validate findings, support rule changes, and ensure alignment with governance standards. Translate analytical findings into clear, concise summaries and presentations that support management reviews, stakeholder discussions, and decision-making. Utilize approved AI tools, analytics platforms, and digital solutions to improve productivity, efficiency, and analytical effectiveness while applying sound judgment to validate outputs and ensure responsible use.
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 five years of applicable experience Preferred Skills and Experience Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field; Master’s degree a plus Experience with analytical tools such as SAS, SQL, or Python