VP AI Model Validation
Listed on 2026-06-02
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Finance & Banking
Risk Manager/Analyst, Financial Compliance
Position Summary
The Vice President AI Model Validation will develop, maintain, and enhance the Bank’s Model Risk Management framework in compliance with regulatory guidance including SR 11‑7. The role will oversee the governance, validation, monitoring, and reporting of models used across the Bank—including BSA/AML, Credit, CECL, ALM, Capital Planning, Stress Testing, liquidity and other decision‑support models.
Essential Duties and Responsibilities- Support and enhance the Bank’s Model Risk Management policy, procedures, and control framework.
- Maintain a comprehensive model inventory, ensuring accuracy, completeness, and appropriate model tiering.
- Oversee and lead model lifecycle governance, including development, implementation, use, monitoring, and retirement.
- Ensure full compliance with SR 11‑7, CECL and other regulatory guidance.
- Conduct independent validations of models, including BSA/AML, CECL/ALLL, Credit, ALM, stress testing, market risk and liquidity models.
- Assess conceptual soundness, input data integrity, methodology, and performance monitoring.
- Challenge assumptions, limitations, and use cases of models and provide recommendations for remediation.
- Document validation results and present findings to senior management, committees, and regulators.
- Design and implement data quality processes to support reliable model inputs and outputs, and data used across MRM reporting.
- Establish controls for data accuracy, completeness, timeliness, and reconciliation across model datasets.
- Develop Power BI dashboards and automated reports to track model performance, issues, and usage.
- Support regulatory and management reporting through clear, visual and actionable insights.
- Execute ongoing model performance monitoring plans, including back‑testing and benchmarking.
- Track and manage model risk issues, findings, and remediation efforts.
- Provide regular reporting on model risk metrics, emerging trends and validation progress.
- Partner with business units, finance, risk, audit and IT to ensure models meet business and regulatory needs.
- Provide training and guidance to model owners and users on governance and data quality requirements.
- Support Internal Audit and regulatory examinations related to model risk.
- Continuously review and enhance risk management processes, tools and methodologies to adapt to evolving business environments and emerging risks.
- Provide training and guidance to employees on risk management best practices and procedures.
- Seek opportunities to leverage technology solutions for improving Enterprise Risk Management practices.
- Other duties as assigned.
- Master’s degree in Finance, Economics, Statistics, Mathematics, Data Science or related field (PhD or CFA/FRM preferred).
- 8+ years of relevant experience in model risk management, validation or quantitative risk within a bank or consulting firm.
- Knowledge of banking regulations and regulatory frameworks including Basel III, Dodd‑Frank Act, BSA/AML, consumer protection laws and rules for banks exceeding $10 billion assets.
- Experience with CECL, ALM, stress testing and other regulatory/decision‑support models.
- Strong knowledge of data quality frameworks and their application in risk management.
- Knowledge of Federal Reserve, NYS Department of Financial Services and CFPB rules and regulations.
- Strong analytical skills and ability to interpret emerging risks, issues and trends in Key Risk Indicator data.
- Proficiency in statistical/programming tools (Python, R, SAS, SQL, MATLAB).
- Experience in data governance, lineage and data quality assessment.
- Detail‑oriented, organized, able to manage multiple priorities and deadlines in a fast‑paced environment.
- Sound judgment and decision‑making skills, balancing regulatory requirements with business objectives and risk considerations.
Base salary ranges from $200,000 to $230,000 annually. This range reflects base wages and does not include benefits, bonus or incentive pay. Final offers are determined by factors such as experience, expertise, education and other legitimate, non‑discriminatory factors.
Equal Employment Opportunity StatementMetropolitan Commercial Bank provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment on any protected basis in any term or condition of employment. The Bank is a drug‑free workplace.
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