AVP, Model Validation
$100,000–$170,000 year
Hybrid · Chicago, Illinois, United States or Charlotte, North Carolina, United States
Job Summary
Lead analyst performing model validation for credit acquisition, account management, fraud and marketing models using ML and traditional logistic regression. Execute end-to-end validation for internally and vendor-developed models, maintain validation documentation, analyze large data sets, and communicate risks to risk management teams. Collaborate with business units to identify model risks and ensure compliance with regulatory requirements. Stay current on model validation practices, regulatory expectations, and advancements in ML/AI techniques including generative AI. Requires ability to travel for in-person activities and engage with multiple hub offices; flexible work-from-home option near hubs or in-office as needed.
Required Qualifications
- Master's degree in Statistics, Mathematics, Data Science or related quantitative field
- 4+ years' experience in model development / model validation in financial services, banking, or retail
- 4+ years hands-on data science and statistical tools (Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker, AWS)
- 4+ years' experience with US regulatory requirements for Model Risk Management
- Willingness to travel for business as required
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