The Quantitative Audit Manager (QAM) oversees complex technical model validation reviews, ensuring risk mitigation related to financial and non-financial models and tools.
They lead validation assessments, review methodologies, and assess model fit for use, collaborating with Model Risk Management and Model Owners.
The role involves recommending improvements to model risk management systems, maintaining expertise in modeling and audit practices, and supporting regulatory compliance, particularly SR 11-7.
The QAM mentors junior staff, develops subject matter expertise, and contributes to strengthening overall model governance.
Qualifications include a Master’s or higher degree in quantitative fields, 6+ years of model experience, proficiency in programming languages (R, Python, C++), database tools (SAS, SQL), and strong communication skills.
Preferred candidates have a Ph.D., experience with large banking models, and broad financial industry knowledge.