AVP, Model Risk and AI Governance at OCBC

  • Company: OCBC
  • Location: OCBC Singapore
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-14

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Job description

WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here. Why join This position allows for the development of a diverse skill sets in model risk management and AI governance, particularly in the area of risk assessment associated with AI assets. You will have the opportunity to develop the good communication skills in stakeholder management, which are valuable in various industries In this pivotal role, you will assist in the operationalisation of governance frameworks for model risk and AI, including Generative AI and Agentic AI. The complexity of AI governance issues can provide a stimulating intellectual challenge, appealing to those who enjoy analytical thinking and problem-solving. On top of that, this role will directly support the Group’s ability to optimize the Model and AI risk assessment process with the help of AI to improve efficiency and productivity. How you succeed Engage effectively with diverse stakeholders, which include model owners across the Group, communicating clearly both verbally and in writing. Demonstrate strong capability in prioritizing and managing multiple concurrent tasks within tight deadlines. Drive continuous process improvements to support governance, compliance, and operational efficiency. Apply excellent problem-solving skills to design and optimize system and processes. You will be at the forefront of implementing industry best practices in model risk management and AI governance, keeping up-to-date on recent regulatory requirements and guidelines. You will also have experience in implementing guardrails for Large Language Models, Gen AI and Agentic AI solutions. What you do You will be part of a dynamic team responsible for supporting and advancing AI governance across the Group. Working closely with business, technology and risk stakeholders, you will help ensure that AI solutions are deployed responsibly, transparently, and in line with regulatory and internal governance requirements: Support the monitoring and review of AI use cases, including Agentic AI solutions, to assess the effectiveness of guardrails, identify potential risks, and highlight areas requiring remediation or enhancement. Work closely with model developers, technology teams, and business users to implement governance requirements, controls, and guardrails throughout the model and AI lifecycle, from development through deployment and ongoing monitoring. Assist in governance reviews and assessments of AI use cases, including risk and materiality assessments, inventory management, and documentation reviews to ensure compliance with internal frameworks and standards. Coordinate with independent validators, auditors, compliance teams, and regulators by facilitating information requests, keeping track of findings, and supporting timely closure of governance actions, as well as to perform FEAT validation of in-scope models. Provide subject matter advice on the risk and materiality assessment of models and AI use cases to stakeholders, as well as conduct of trainings to reinforce the awareness of model risk and AI governance across the Gr

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