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VP, AI/ML Model Risk & Governance, Data Management Office

SMBC Group
7-9 Years
Singapore
Early Applicant
  • Posted 4 months ago
  • Be among the first 10 applicants

Job Description

Responsibilities

  • Provide independent oversight and challenge throughout the model lifecycle, including development, validation, approval and ongoing monitoring.
  • Assess model materiality, criticality and alignment with organisational risk appetite.
  • Review model documentation, assumptions, methodology, limitations, residual risks and compensating controls.
  • Evaluate model monitoring frameworks, including drift detection, performance and stability metrics.
  • Ensure compliance with regulatory expectations for AI/ML, including fairness, explainability and accountability.
  • Collaborate with data scientists and model developers across departments to understand modelling intent and technical assumptions.
  • Support enhancement of governance frameworks, policies and approval processes for statistical, ML and AI models.
  • Contribute to AI/ML proofofconcept (POC) initiatives to strengthen governance practices and support innovation.
  • Partner with risk, compliance, IT and business teams to embed robust AI governance and Responsible AI principles across the organisation.
  • Support AI/ML model governance by managing essential data assets, including maintaining metadata, documenting key datasets, and ensuring clarity of features and data inputs used in models.
  • Support data management initiatives for building a robust AI/ML-ready ecosystem.

Requirements

  • Minimum 7 years of relevant experience in model risk management, model governance, model validation, quantitative analytics or related areas.
  • Strong knowledge of model governance frameworks, policies and regulatory expectations for statistical, ML and AI models.
  • Understanding of AI/ML concepts including performance evaluation, explainability, drift and monitoring techniques.
  • Ability to identify modelling weaknesses, design flaws, performance gaps and potential risks.
  • Experience reviewing documentation, assumptions, model logic and validation evidence.
  • Strong risk assessment, judgement, analytical and problemsolving skills.
  • Excellent documentation and communication skills to support governance decisions.
  • Ability to collaborate effectively with data science, engineering, business and risk stakeholders.
  • Familiarity with Responsible AI principles such as fairness, transparency and robustness.
  • Nice-to-haves: AI Governance Professional (AIGP) certificate or relevant qualifications.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Model Risk Management
Employment Type:
Full time

About Company

Job ID: 146536533

Last Updated: 23-07-2026 08:04:23 PM
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