Fraud Risk Analytics Lead

US Bank; Minneapolis (MN); On-site; USD 90,000 - 130,000; Full time

Job summary

U.S. Bank is seeking a Fraud Risk Analyst within the Quantitative Fraud Strategy team to support fraud prevention, detection, and rule management through data analysis and performance monitoring of digital banking and money movement products.

The ideal candidate will analyze fraud performance, evaluate rule effectiveness, and provide insights to strengthen fraud mitigation while maintaining a positive customer experience.

Qualifications

• Bachelor's degree or equivalent work experience.
• 5+ years of applicable experience.
• Experience with analytical tools such as SAS, SQL, or Python.
• Strong proficiency with Microsoft Office applications and data analysis software.

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 governance alignment.
• Translate analytical findings into clear, concise summaries and presentations for management reviews and stakeholder discussions.
• Utilize approved AI tools, analytics platforms, and digital solutions to improve productivity and analytical effectiveness.

Skills

SAS

SQL

Python

Education

Bachelor's degree

Master's degree (preferred)

Tools

Excel

Job description

U.S. Bank is seeking a Fraud Risk Analyst within the Quantitative Fraud Strategy team to support fraud prevention, detection, and rule management through data analysis and performance monitoring of digital banking and money movement products.

The ideal candidate will analyze fraud performance, evaluate rule effectiveness, and provide insights to strengthen fraud mitigation while maintaining a positive customer experience.