Senior Fraud Analytics & Risk Strategist

Us Bank; Minneapolis (MN); On-site; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) plan

Paid vacation

Paid holidays

Adoption assistance

Job summary

U.S. Bank in Minneapolis seeks a Fraud Analytics Risk Analyst to support the Enterprise Fraud Risk organization. You will analyze fraud losses, claims, and operational data, identify root causes, and provide data-driven challenge to strategies and controls.

You will develop benchmarks, thresholds, and risk indicators, design auditable methodologies, and support cloud modernization initiatives including Databricks and Azure, while communicating findings to stakeholders.

Qualifications

• Bachelor's degree or equivalent work experience.
• 6+ years of applicable experience in analytics or risk management.
• Experience querying relational databases and large data sets.
• Proficiency in SAS/SQL/Python/R with ability to learn new tools.

Responsibilities

• Analyze fraud losses, claims, complaints, and risk indicators to identify root causes.
• Provide credible challenge to fraud strategies, detection rules, and reporting.
• Develop benchmarks, thresholds, and trend analyses for fraud exposure.
• Design repeatable, auditable analytical methodologies and governance.
• Identify emerging threats and recommend risk mitigation actions.
• Assess impact of business and technology changes on fraud risk and support cloud initiatives.

Skills

Fraud analytics

Data analysis

Risk management

Communication skills

Education

Bachelor's degree in a quantitative field

Bachelor's degree or equivalent experience

Tools

SAS

SQL

Python

R

Power BI

Job description

U.S. Bank in Minneapolis seeks a Fraud Analytics Risk Analyst to support the Enterprise Fraud Risk organization. You will analyze fraud losses, claims, and operational data, identify root causes, and provide data-driven challenge to strategies and controls.

You will develop benchmarks, thresholds, and risk indicators, design auditable methodologies, and support cloud modernization initiatives including Databricks and Azure, while communicating findings to stakeholders.