Fraud Strategy Data Analyst: Insights for Loss Reduction

Usbank; Cincinnati (OH); On-site; USD 108,000 - 128,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid leave

Parental leave

Job summary

U.S. Bank is seeking a Fraud Strategy Data Analyst to provide enterprise-level analytical insight into fraud decisioning performance, risk reduction, customer experience, and financial outcomes across deposits, digital, payments, authentication, and account lifecycle.

You will translate complex analytics into actionable insights for leadership and partner with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams.

Qualifications

• Bachelors degree, or equivalent work experience
• Typically more than eight years of applicable experience
• Comprehensive knowledge of all departmental data sources and fraud risk and operations management
• Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends
• Strong project management skills
• Effective verbal and written communication skills
• Proficient computer navigation with Microsoft Office and data analysis tools

Responsibilities

• Leverage SAS/SQL/Python to extract, transform, and analyze large-scale fraud data and deliver data-driven insights.
• Analyze enterprise fraud performance across deposits, digital, payments, authentication, and account lifecycle domains.
• Evaluate fraud decisioning performance, alert effectiveness, and workflow dynamics to identify gaps and optimization opportunities.
• Develop and apply fraud tradeoff, loss avoidance, and performance measurement frameworks.
• Engineer and maintain methodologies for measuring fraud benefits and costs using audit-ready approaches.

Skills

SAS

SQL

Python

Education

Bachelors degree, or equivalent

Tools

Microsoft Office

Job description

U.S. Bank is seeking a Fraud Strategy Data Analyst to provide enterprise-level analytical insight into fraud decisioning performance, risk reduction, customer experience, and financial outcomes across deposits, digital, payments, authentication, and account lifecycle.

You will translate complex analytics into actionable insights for leadership and partner with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams.