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GXBank is seeking a qualified professional to join the Model Risk Management Team in Malaysia. This Second Line of Defense role focuses on independent model validation, governance and advisory support across traditional and AI models.
You will manage end-to-end model lifecycles, validate risk models, assess AI risks, and drive governance improvements. Applicants should have a quantitative degree (CFA/FRM advantageous) and strong communication skills to coordinate with stakeholders and senior
The role sits in the Model Risk Management Team. This is a Second Line of Defense role in the Risk Management function. The role is responsible for managing the model risk management activities across the Bank through independent model validation, governance, risk assessment, and advisory support covering traditional and AI models.
Manage the end-to-end model lifecycle for new and existing models across the Bank.
Perform independent validation of risk models, including scorecards, IRB, ECL, AML, Fraud and other models.
Assess model risk for AI use cases, including FEAT assessments and/or AI-specific risk assessment, in line with industry best practices or regulatory guidelines.
Review model documentation, test model implementation, and assess model performance through ongoing and annual reviews.
Ensure model risk controls are embedded across the model lifecycle.
Maintain and enhance model risk frameworks, policies, and standards in line with regulatory requirements.
Provide advisory support on model risk governance and best practices.
Drive automation, process harmonization, and data standardization in model governance.
Communicate model risk findings and validation outcomes to stakeholders and senior management.
Work with model owners, developers, and quantitative analysts to remediate findings and strengthen model risk culture.
Degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Data Science, Economics, Finance, Engineering, or a related field; or with relevant experience in model risk management, validation, or model governance in banking. Postgraduate, CFA and/or FRM qualifications are an advantage.
Strong knowledge of modeling and validation techniques for both traditional and AI models. Familiar with model/AI lifecycle controls.
Familiarity with AI Governance landscape and have good understanding of relevant regulatory and industry guidance, including BNM and MAS expectations on emerging AI governance standards.
Ability to independently assess AI/ML risks such as explainability, fairness, robustness, and model drift.
Strong communication, stakeholder management, and collaboration skills, with exposure to automation and governance process improvement.
Licensed and regulated by Bank Negara Malaysia (BNM)
As the first of the five digital bank licence applicants to receive the approval to commence operations from the BNM, we have an opportunity to build a bank that changes the game.
Licensed and regulated by Bank Negara Malaysia (BNM)
As the first of the five digital bank licence applicants to receive the approval to commence operations from the BNM, we have an opportunity to build a bank that changes the game.