Fraud Analytics & Strategy Analyst

Usbank; Charlotte (NC); Hybrid; USD 108,000 - 128,000; Full time

Benefits offered by this job

Healthcare

401(k) plan

Paid time off

Disability insurance

Life insurance

Job summary

U.S. Bank seeks a Fraud Strategy Data Analyst to deliver enterprise-level analytics across fraud decisioning and risk management. You will translate complex data into actionable insights to inform leadership and optimize fraud controls.

The role emphasizes SAS/SQL/Python proficiency, advanced analytics, and collaboration with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams to drive measurable fraud and business outcomes.

Qualifications

• Bachelor’s degree or equivalent work experience.
• Typically more than eight years of applicable experience.
• Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends.
• Proficient computer navigation skills using Microsoft Office applications and data analysis software.

Responsibilities

• Leverage SAS/SQL/Python to extract, transform, and analyze large-scale fraud data for decisioning and performance measurement.
• Analyze enterprise fraud performance across deposits, digital, payments, authentication, and account lifecycle to identify loss drivers and opportunities.
• Evaluate alert effectiveness, decision outcomes, false positives, and queue dynamics to identify gaps and optimization opportunities.
• Develop fraud performance frameworks that quantify impact on loss reduction, customer experience, and operational costs.
• Partner with Risk, Operations, Digital, Technology, and AI/ML teams to drive measurable fraud and business outcomes.

Skills

Analytical skills

Communication skills

Project management

SQL

Python

Education

Bachelor’s degree, or equivalent work experience

Tools

SAS

SQL

Python

Job description

U.S. Bank seeks a Fraud Strategy Data Analyst to deliver enterprise-level analytics across fraud decisioning and risk management. You will translate complex data into actionable insights to inform leadership and optimize fraud controls.

The role emphasizes SAS/SQL/Python proficiency, advanced analytics, and collaboration with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams to drive measurable fraud and business outcomes.