Fraud Strategy Analytics Analyst

U.S. Bank; Irving (TX); On-site; USD 108,000 - 128,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Paid vacation

401(k)

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 the end-to-end account lifecycle.

You will translate complex analytics into actionable recommendations and partner 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.

Responsibilities

• Leverage SAS/SQL/Python to extract and analyze large-scale fraud data.
• Evaluate fraud decisioning performance and identify optimization opportunities.
• Develop frameworks to quantify fraud controls impact.
• Collaborate with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams.
• Translate analytics into executive-ready recommendations.

Skills

SAS

SQL

Python

Education

Bachelor’s degree

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 the end-to-end account lifecycle.

You will translate complex analytics into actionable recommendations and partner with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams to drive measurable fraud and business outcomes.