
at BNY Mellon
Asset ManagementPosted 2 months ago
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BNY Mellon is hiring a Vice President on the Model Risk Management team to lead governance, validation, and strategic oversight of models across the enterprise. The role is fully on-site in Pittsburgh, PA and emphasizes regulatory compliance (SR 11-7/OCC guidance), model validation, and collaboration with developers, validators, auditors and senior stakeholders. The position will drive adoption of automation and AI/ML techniques, enhance model governance, and represent the bank in regulatory and industry forums. A degree in a quantitative or technical discipline and strong stakeholder and communication skills are required.
- Compensation
- Not specified
- City
- Pittsburgh
- Country
- United States
Currency: Not specified
Full Job Description
- Contribute to enterprise-wide model risk management activities, including validation and/or governance work. Independent review and oversight of models used across business lines, platforms, and legal entities.
- Collaborate with model developers, validators, auditors, and senior stakeholders to ensure models are fit for purpose and appropriately governed. Senior stakeholders extend beyond modelers to business and platform leads.
- Drive innovation in model risk practices, including the integration of AI/ML techniques and automation tools to enhance efficiency and insight.
- Collaborate across the MRM team to enhance model governance, validation, and risk practices.
- Ensure compliance with regulatory expectations, particularly those outlined in Federal Reserve SR 11-7 and OCC Bulletin 2011-12, including:
- Robust model development, implementation, and use;
- Comprehensive model validation covering conceptual soundness, ongoing monitoring, and outcomes analysis; and
- Sound governance, policies, and controls over model lifecycle and risk oversight.
- Grow to represent the bank in regulatory discussions and industry forums related to model risk and quantitative analytics.
- Contribute to a culture of excellence and continuous improvement.
- Any experience in Model Development, Model Validation, Model Risk Management, or Model Risk Audit.
- Demonstrated interest in model governance and regulatory frameworks, especially SR 11-7 and related supervisory guidance in banking.
- Demonstrated interest in and exposure to automation, AI, and machine learning applications.
- Strong communication, stakeholder engagement, and strategic thinking skills.
- A degree in a quantitative or technical discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field is required.
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