Fraud Risk Analyst – Quantitative Fraud Strategy

Job Description

Fraud Prevention Analyst | U.S. Bank

The Tone:
This is a full-time role at U.S. Bank, located in multiple U.S. Bank locations. U.S. Bank is dedicated to helping customers and businesses make smarter financial decisions while enabling communities to grow. This role within the Quantitative Fraud Strategy team is crucial for supporting fraud prevention, detection, and rule management through data analysis across digital banking and money movement products, protecting customers and strengthening prevention capabilities.

The TL;DR
• Role: Full Time
• Location: In-person, multiple U.S. Bank locations (Tempe, AZ; Minneapolis, MN; Charlotte, NC; Fargo, ND; Cincinnati, OH; Irving, TX)
• Pay: $92820–$109200 yearly
• Team: Quantitative Fraud Strategy team, within U.S. Bancorp
• Mission: To support fraud prevention, detection, and rule management efforts through data analysis and performance monitoring to strengthen fraud prevention capabilities while maintaining an appropriate customer experience.
• Tech Stack: SAS, SQL, Python, Microsoft Office applications, data analysis software, AI tools, analytics platforms, digital solutions

What You’ll Actually Do
• Analysis: Analyze fraud rule performance, alert outcomes, customer impacts, and loss trends across digital channels to assess effectiveness and identify opportunities for improvement.
• Pattern Identification: Utilize large and complex datasets to identify emerging fraud patterns, performance shifts, and analytical insights that support fraud mitigation efforts.
• Recommendation Development: Develop data-driven recommendations that balance fraud risk mitigation, customer experience, and operational efficiency.
• Root-Cause Investigation: Conduct root-cause analysis on fraud events, performance anomalies, and operational trends to support rule enhancements and control improvements.
• Communication: Translate analytical findings into clear, concise summaries and presentations that support management reviews, stakeholder discussions, and decision-making.

The Must-Haves
• Background: Bachelor’s degree or equivalent work experience, with typically more than five years of applicable experience.
• Experience: Experience with analytical tools such as SAS, SQL, or Python, and experience analyzing fraud performance data, alerts, or rule-based controls. Knowledge of financial services products, systems, and data, preferably within the fraud domain.
• Skills: Strong analytical, problem-solving, and critical-thinking skills, coupled with excellent written, verbal, and presentation abilities to communicate findings clearly to diverse audiences.
• Bonus: A Master’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field, and familiarity with online banking and digital payments.