About this role
The VP will provide independent oversight and governance for AI/ML models throughout their lifecycle, ensuring compliance with regulatory standards and internal risk appetite. They will collaborate with cross-functional teams to embed Responsible AI principles and manage essential data assets for an AI-ready ecosystem.
Candidates must have at least 7 years of experience in model risk management, governance, or quantitative analytics. A strong understanding of AI/ML concepts, regulatory frameworks, and the ability to identify model risks and performance gaps are essential.
What they're looking for
Model Risk ManagementModel GovernanceModel ValidationQuantitative AnalyticsAI/ML GovernanceResponsible AIRegulatory ComplianceData Management
Frequently asked questions
What does a VP, AI/ML Model Risk & Governance, Data Management Office at SMBC do?
The VP will provide independent oversight and governance for AI/ML models throughout their lifecycle, ensuring compliance with regulatory standards and internal risk appetite. They will collaborate with cross-functional teams to embed Responsible AI principles and manage essential data assets for an…
What skills does this VP, AI/ML Model Risk & Governance, Data Management Office role need?
Key skills for this role include Model Risk Management, Model Governance, Model Validation, Quantitative Analytics, AI/ML Governance, Responsible AI.
How much does a VP, AI/ML Model Risk & Governance, Data Management Office at SMBC pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this VP, AI/ML Model Risk & Governance, Data Management Office role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this VP, AI/ML Model Risk & Governance, Data Management Office role?
You can apply directly on SMBC's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.