IRM-Model Risk Mgmt-Unit Head-Model & AI Governance

.docx_html_scope { font-family: 'Cambria', Calibri, Arial, sans-serif, Cambria !important; font-size: 11pt !important; }

.docx_html_scope p { margin-top: 0 !important; margin-bottom: 0 !important; overflow-wrap:anywhere !important; word-break: break-word !important; text-align: inherit !important; }

.docx_html_scope ul, .docx_html_scope ol { margin-top: 0 !important; margin-bottom: 12pt !important; padding-left: 24pt !important; }

.docx_html_scope li { margin-bottom: 6pt !important; overflow-wrap:anywhere !important; word-break: break-word !important; }

Job Title

IRM-Model Risk Management-Unit Head-Model & AI Governance

Business Unit

Integrated Risk Management

Reporting To

IRM-Model Risk Management-Vertical Head

Job Function and Role Type

Model Risk & AI Governance, 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.

Model Risk Governance

Set strategic direction for model risk and AI governance; Lead Model Risk Management Committee and AI/ML Council; Oversee model risk policy framework and AI governance strategy; Ensure regulatory compliance and manage senior stakeholder relationships; Governance & Policy; Drive standardization initiatives and oversee policy development; Lead regulatory relationships and ensure adherence to governance frameworks; Develop and implement AI governance strategies; Team & Project Management; Lead team of professionals and manage performance; Drive career development programs and oversee strategic projects; Implement systems and drive automation initiatives; Risk Management; Oversee model risk assessments and AI risk management; Manage validation frameworks and emerging risks; Lead risk reporting to the Board and develop risk metrics; Innovation & Development; Drive governance innovation and lead research initiatives; Develop strategic partnerships and drive industry engagement; Lead thought leadership and awareness programs.

Education:

Master's degree in Statistics, Mathematics, Economics, AI, Machine Learning, or 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.