Fraud Risk Analyst
$119,765–$140,900 year
On-siteTempe, Arizona, United States or Minneapolis, Minnesota, United States
Job Summary
Develop and continuously refine fraud rule strategies that leverage departmental data, balancing fraud mitigation, false positive rates, 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. Leverage approved AI, analytics, automation, and visualization tools to accelerate insight generation, improve operational efficiency, and enhance fraud detection capabilities. 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.
Required Qualifications
- Bachelor's degree, or equivalent work experience
- Typically more than eight years of applicable experience
- Bachelor's degree in Quantitative field
- Master's degree a plus
- This role requires working from a U.S. Bank location three (3) or more days per week
- Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies
Desired Qualifications
- Strong background in fraud analytics and rule development, with demonstrated ability to identify emerging fraud trends and translate findings into effective rule changes
- Deep expertise in SQL, SAS, and Python, with the ability to independently design analytical frameworks, automate complex processes, build predictive models, and translate large-scale data into actionable fraud risk strategies and business recommendations
- Experience supporting fraud strategy development within account origination, onboarding, identity verification, or digital banking environments
- Experience with external fraud and identity providers (Socure, LexisNexis, Sentilink, etc.)
- Experience performing strategy testing, segmentation analysis, or champion/challenger experiments
- Experience working in large datasets to support strategy testing, treatment analysis, and performance evaluation
- Knowledge of Fair and Responsible Banking principles and compliance considerations in strategy development
- Comprehensive knowledge of bank systems and experience with fraud decisioning platforms and rule engines
- Thorough understanding of fraud typologies, including First-Party Fraud, Third-Party Fraud, Synthetic Identity Fraud, and related fraud risks, along with experience developing mitigation strategies
- Strong verbal and written communication skills, with the ability to effectively present complex analytical findings, fraud trends, and strategic recommendations to senior leaders and executive stakeholders
- Ability to influence cross-functional partners through data-driven recommendations and effective communication
- Ability to manage multiple priorities in a fast‐moving environment, demonstrating strong organizational skills, attention to detail, and effective decision-making
- Commitment to compliance, internal controls, and ethical use of technology, including responsible use of approved AI tools to enhance accuracy, efficiency, and productivity
- Proficient computer navigation skills, including Microsoft Office and data analysis software
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