Fraud Risk Strategy Architect

Us Bank; Irving (TX); On-site; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) plan

Paid vacation

Job summary

U.S. Bank is seeking a senior Fraud Data Analyst to analyze complex data, identify fraud trends, and develop strategies that prevent fraud across new account originations.

You will own rule strategies for multiple products, leveraging SQL, SAS, Python, and other tools to design, test, implement, and optimize fraud controls. The ideal candidate has a strong background in fraud analytics, exceptional analytical judgment, and the ability to drive initiatives with limited oversight.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• Typically 8+ years of applicable fraud analytics or risk experience.
• Experience designing and refining fraud rule strategies.
• Strong proficiency with SQL, SAS, and Python for data analysis and modeling.

Responsibilities

• Develop, implement, and refine fraud rule strategies to balance risk and customer experience.
• Analyze large datasets to identify fraud trends and optimization opportunities.
• Translate findings into actionable recommendations for management and stakeholders.
• Monitor rule performance and thresholds; adjust strategies as needed.
• Collaborate with cross-functional teams to ensure compliance and governance.

Skills

Fraud analytics

SQL

SAS

Python

Rule development

Education

Bachelor’s degree in Quantitative field

Master’s degree

Tools

SQL

SAS

Python

Job description

U.S. Bank is seeking a senior Fraud Data Analyst to analyze complex data, identify fraud trends, and develop strategies that prevent fraud across new account originations.

You will own rule strategies for multiple products, leveraging SQL, SAS, Python, and other tools to design, test, implement, and optimize fraud controls. The ideal candidate has a strong background in fraud analytics, exceptional analytical judgment, and the ability to drive initiatives with limited oversight.