Technical practice
MAS AI Risk Management Guidelines Compliance
What to coverExplain how you would translate the MAS AI risk management guidelines into a practical review framework for banking use cases. Focus on how you balance regulatory adherence with the need for business agility in AI deployment.
Agentic AI Architecture Safety
What to coverWhat specific security and control mechanisms would you look for when reviewing an agentic AI architecture? Discuss the importance of immutable decision logging, policy-as-code, and effective fallback or kill-switch mechanisms.
Fairness and Explainability in Financial Models
What to coverDescribe your approach to evaluating fairness and explainability in complex ML models used for financial decision-making. Suggestion: Discuss specific metrics or techniques you use to detect bias and how you ensure model outputs are interpretable for non-technical stakeholders.
Data Privacy and PDPA in AI
What to coverHow do you assess data lineage, quality, and anonymization practices to ensure compliance with Singapore's PDPA? Address the challenges of maintaining privacy while training or fine-tuning models on sensitive financial data.
Model Risk Management and Drift Monitoring
What to coverHow do you design a robust monitoring framework to detect model drift in a production environment? Explain how you would determine when a model requires re-validation or retraining based on performance degradation.
Operational Transformation via AI
What to coverProvide an example of how you have led or supported an AI-driven process improvement initiative. Suggestion: Focus on how you identified the opportunity, managed the associated risks, and ensured the transformation aligned with internal governance.
Secure MLOps and Supply Chain Risk
What to coverWhat are the primary security considerations for an MLOps pipeline in a financial institution? Discuss how you mitigate supply-chain risks, such as vulnerabilities in open-source libraries or third-party AI models.
Regulatory Horizon Scanning
What to coverHow do you stay updated on evolving global AI regulations, such as the EU AI Act, and integrate these insights into existing bank policies? Explain your process for translating high-level regulatory expectations into actionable review criteria.
Behavioural practice
Managing Stakeholder Conflict
What to coverDescribe a situation where you had to provide a risk-based recommendation that conflicted with a business team's desired timeline or implementation. How did you communicate your concerns while maintaining a collaborative relationship?
Influencing Senior Management
What to coverGive an example of how you presented complex AI risk findings to senior management or a committee. How did you ensure your report was clear, actionable, and effectively highlighted the most critical risks?
Adapting to Diverse APAC Environments
What to coverShare an experience where you had to navigate cultural or regulatory differences while working across multiple APAC jurisdictions. How did you ensure your risk management approach remained consistent yet locally relevant?
Handling Ambiguity in AI Governance
What to coverDescribe a time when you were tasked with reviewing an AI use case for which there was no established internal policy or clear regulatory precedent. What steps did you take to evaluate the risk and provide guidance?