Fraud Risk Analyst

We are hiring for an exciting opportunity as a Fraud Risk Analyst 4 within U.S. Bancorp’s Quantitative Fraud Strategy team. In this role, you will play a critical part in analyzing complex data and developing rules that effectively mitigate fraudulent transactions. Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python.

You will identify emerging fraud trends, develop rules, and implement proven strategies within our fraud detection systems. Collaboration is key—you will work closely with business partners to quantify the impact of rule changes, identify opportunities for enhancement, and communicate essential information about the products we monitor. The ideal candidate is passionate about protecting customers, thrives in a fast‑paced environment, and brings creativity to identifying fraud patterns and shaping effective rule strategies.

Operating with a high degree of independence and receiving guidance from management as needed, this role focuses on building and implementing rule strategy that strengthens U.S. Bancorp’s ability to prevent and detect fraud across digital channels and money movement products. You will evaluate emerging fraud trends, assess the performance and efficiency of existing rules, and recommend targeted improvements that enhance fraud mitigation effectiveness while maintaining a balanced customer experience.

As a self‑starter and collaborative contributor, you will work closely with teams across and beyond the Quantitative Fraud Strategy organization to develop sustainable strategies, share insights, and support rule development across key areas including First Party Fraud, Third Party Fraud, Account Takeover, Scam, and  scenarios. This role emphasizes analytical skills, effective decision‑making, and the ability to deliver clear, actionable recommendations informed by a strong understanding of rule strategy, operational considerations, and strategic priorities.

• Develop, implement, and continuously refine fraud rule strategies that leverage departmental data, balancing fraud mitigation, customer experience, performance targets, and alignment with organizational priorities
• Analyze large, complex datasets to identify emerging fraud trends, performance shifts, and strategic opportunities that inform rule development and refinement
• Translate analytical findings into clear, actionable recommendations and communicate strategy updates, rule performance insights, and business impacts to management, partners, and key stakeholders
• Monitor and evaluate rule performance on an ongoing basis, detecting anomalies, validating thresholds, and proactively identifying opportunities to strengthen existing strategies and processes
• Incorporate AI‑driven analytics, automation, and visualization tools to support innovation, strategy optimization, and improve efficiency across rule development and performance monitoring
• Collaborate closely with operations, technology, risk management, and cross‑functional teams to validate rule effectiveness, conduct root‑cause analysis, and ensure alignment with compliance and governance standards

• Bachelor’s degree, or equivalent work experience
• Typically more than six years of applicable experience

• Strong background in fraud analytics and rule development, with demonstrated ability to identify emerging fraud trends and translate findings into effective rule changes
• Proficiency with analytical tools such as SQL, SAS, and Python
• Experience working in large datasets to support strategy testing, treatment analysis, and performance evaluation
• Comprehensive knowledge of bank systems and fraud detection platforms (Actimize), along with familiarity in online banking and financial products such as ACH, wires, digital payments, and other electronic transfers
• Thorough understanding of fraud typologies, operational processes, and risk‑mitigation frameworks, with experience supporting advanced fraud strategy development
• Effective written…