Senior Fraud Analytics & Insights Lead

U.S. Bank; Tempe (AZ); On-site; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare

Life insurance

Disability

Parental leave

401(k)

Vacation

Holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a Fraud Risk Analyst to apply advanced analytics to evaluate fraud strategies across deposits, payments, digital channels, and the account lifecycle.

The role focuses on identifying fraud risk, quantifying business impact, measuring control effectiveness, and developing data-driven recommendations that influence fraud strategy and decisions. This analytics-focused position requires independent problem definition and solution development, translating findings into

Qualifications

• Bachelor's degree or equivalent work experience.
• Six or more years of relevant analytics experience.
• Six or more years of advanced SAS programming and analytics experience required.
• Experience evaluating fraud strategies and translating findings into business recommendations.

Responsibilities

• Analyze complex, multi-channel fraud trends to identify risks and opportunities.
• Develop analytical approaches and recommendations addressing fraud risks and priorities.
• Develop data-driven insights that strengthen fraud prevention while balancing customer experience.
• Evaluate fraud controls, authentication strategies, and detection rules via quantitative analysis.
• Translate complex findings into executive-ready insights and cost-benefit analyses.
• Collaborate with stakeholders to evaluate fraud tools and data sources.

Skills

Advanced SAS

Analytics

SQL

Python

Influence leadership

Education

Bachelor's degree

Tools

SAS

SQL

Python

Job description

U.S. Bank is seeking a Fraud Risk Analyst to apply advanced analytics to evaluate fraud strategies across deposits, payments, digital channels, and the account lifecycle.

The role focuses on identifying fraud risk, quantifying business impact, measuring control effectiveness, and developing data-driven recommendations that influence fraud strategy and decisions. This analytics-focused position requires independent problem definition and solution development, translating findings into