Quant Model Validator

Job description
Responsible for executing model validation activities, including validation, annual review, ongoing monitoring, findings management, and model use approvals for low-, moderate- or high-risk models. May coordinate a team of 1-2 quantitative model validators to test and evaluate the conceptual soundness of models and assess limitations and suitability for use. Subject matter expertise in a key model area such as Artificial Intelligence/Machine Learnings, Statistical and Stochastic processes, or Insurance and Actuarial Modeling.

Key Responsibilities:
Conducts annual reviews of low-, moderate-, or high-risk models.
Responsible for validation scripts, validation report and report reviews of low-, moderate- or high-risk model validations.
Consults with model owners and model developers to promote best practices and resolve questions or deficiencies.
Establishes the scope and testing of low-, moderate- or high-risk model validations, providing guidance as necessary on complex issues
Supports model governance policies and procedures, templates, and risk reporting and provides level 2 technical support to business.
Required Qualifications:
Has a minimum of 10 years of experience in model risk management in banking or insurance.
Has a masters degree in science, math, statistics, or related area.
Preferred Qualifications:
PhD
Familiar with SR 11-7/OCC 2011-12.
Role: Data Science & Analytics - Other
Industry Type: Financial Services
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
Education
UG: Any Graduate
PG: Any Postgraduate
Key Skills
Presidentmodel validationArtificial IntelligenceFinancial planningActuarialAsset managementSubject matter expertiseRisk managementTechnical supportMonitoring