IRM-Model Risk Mgmt-Unit Head-Generative AI Validation

Job Title

Unit Head - Model Risk Oversight & Research

Business Unit

Integrated Risk Management

Reporting To

IRM - Model Risk Management Vertical Head

Job Function and Role Type

Model Risk Oversight & Research, Supervisory Role, Moderate Travel Required

Version No

1

Job Purpose

Set strategic direction for enterprise-wide model risk and AI governance while driving cultural transformation and innovation. Provide executive leadership in shaping organizational approach to model risk and AI governance while managing C-suite relationships and regulatory expectations.

Key Responsibilities

Model Risk Oversight & Strategic Leadership

• Set strategic direction for model risk and AI governance.
• Lead Model Risk Management Committee and AI/ML Council.
• Drive innovation in governance approaches.
• Manage senior stakeholder and regulatory relationships.

Governance & Policy

• Oversee model risk policy framework.
• Drive AI governance strategy and standardization initiatives.
• Ensure regulatory compliance and oversee policy development.

Team & Project Management

• Lead team of professionals and strategic projects.
• Drive career development, performance, and talent management.
• Oversee system implementation and automation initiatives.

Risk Management

• Oversee model risk assessments and AI risk management.
• Manage validation frameworks and emerging risks.
• Lead risk reporting to Board and develop risk metrics.

Innovation & Development

• Drive governance innovation and industry engagement.
• Lead research initiatives and thought leadership.
• Develop strategic partnerships and awareness programs.

AI Research

• Research and design model risk frameworks for AI/ML and GenAI models.
• Enhance model validation methodologies for evolving AI risks.
• Develop AI/ML validation toolkits and best practices.
• Conduct emerging risk research and design test scenarios.

Education:

Master's degree in Statistics, Mathematics, Economics, AI, Machine Learning, Computer Science, or MBA in Finance.

Certifications:

AI/ML certifications preferred, leadership/management certifications valued.

Key Competencies

Strategic leadership, model risk management, AI/ML governance, stakeholder management, project portfolio management.

Major Stakeholders

C-suite executives, regulatory bodies, cross-functional teams.