First VP, Group Risk Management AI & Data Risk Governance & Control – Advanced AI Risk Specialist
Core
Establishing and maintaining a robust governance framework for AI development, deployment, and monitoring across the bank to ensure AI systems are secure, fair, explainable, and compliant with MAS expectations.
Role type
First VP, Group Risk Management AI & Data Risk Governance
Builds
Enterprise standards for AI risk, validation frameworks, and regulatory compliance artifacts for high-risk AI/ML/GenAI models.
Domain
Banking / Financial Services / AI Risk & Governance
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Statistical inference, hypothesis testing, experimental design, uncertainty quantification, supervised/unsupervised learning, neural architectures (CNNs, RNNs, Transformers), LLM fine-tuning, RLHF, RAG, red teaming, bias measurement, causal analysis, Python, SQL, PyTorch, TensorFlow, LangChain, vector databases, cloud security.
Preferred skills
Certifications in AI ethics, model risk management, cybersecurity, and privacy (PDPA).
Technologies
Python, SQL, PySpark, PyTorch, TensorFlow, LangChain, Llama Index, AWS, GCP, Azure, Kubernetes.
Responsibilities
Establish bank-wide independent validation requirements for AI/ML/GenAI models; validate high materiality models; develop enterprise standards for fairness and explainability; conduct deep reviews of data lineage and architectures; review AI red teaming assessments; enforce documentation and audit trails; partner with business, data science, engineering, and compliance teams; manage and provide direction to a team of AI risk specialists.
Seniority
Executive (First VP), hands-on IC with team leadership
