Fraud Model Analyst
On-site · Frisco, Texas, United States
Job Summary
Fraud Model Analyst role focused on governance, onboarding, and lifecycle management of third-party (vendor) fraud models; partnering with Model Risk Management, Legal, Compliance, and external vendors to ensure onboarding, validation, documentation, monitoring, and periodic reviews; analyze model performance metrics (fraud capture, false positives, drift) and support integration into fraud decisioning; require 3–5 years of fraud/risk analytics experience, a bachelor’s degree in a quantitative field, and proficiency in SQL and Python, with strong cross-functional collaboration and documentation skills.
Required Qualifications
- 3–5 years of experience in fraud, risk analytics, model governance, or related roles
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent experience
- Working knowledge of Model Risk Management (MRM) frameworks and model governance processes
- Strong analytical skills with experience evaluating model performance and identifying issues
- Proficiency in SQL and Python for data analysis and investigation
- Experience working with fraud model performance metrics (e.g., fraud capture rate, false positive rate, precision/recall, AUC, drift monitoring)
- Familiarity with data science workflows and ability to work with datasets to support model analysis and validation
- Experience working with cross-functional stakeholders and external partners/vendors
- Strong documentation skills, including experience preparing model documentation, monitoring reports, or audit responses
- Clear communication skills with the ability to translate technical concepts into business and compliance context
- Strong organizational and program management skills, with the ability to manage multiple priorities
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