Fraud Risk Analyst

About the role

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.

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.
• 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.
• Support testing, implementation reviews, and post-implementation assessments of fraud-control enhancements, rule changes, and decisioning strategies.
• Translate complex analytical findings into clear, executive-ready insights that inform enterprise fraud strategy, prioritization, and decision making.

Qualifications

• Bachelor’s degree or equivalent work 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-week work and tolerance for ambiguity.
• A positive 'can-do' attitude and a strong desire to continue to learn and ask questions.
• The ability to work well in a team environment.
• The ability to build relationships cross-functionally and over the phone.
• The 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 approaches, and fraud-prevention capabilities through data-driven analysis.
• Experience supporting contact-center fraud controls, authentication strategies, and fraud-rule performance assessments.
• The ability to translate analytical findings into clear business recommendations and presentations for leadership audiences.

Location Expectations

This role requires working from a U.S. Bank Location three (3) or more days per week.

Additional Expectations

• Utilize approved analytics, AI, and technology solutions while applying appropriate judgment and validation of results.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law