Lead / Senior Model Risk Specialist

GXS; Petaling Jaya; On-site; MYR 180,000 - 260,000; Full time

Job summary

GXS in Malaysia (Petaling Jaya) is seeking a Second Line of Defense professional in Model Risk Management. You will manage end-to-end lifecycle, validate risk models, and assess AI-related risks across traditional and AI models, ensuring governance and regulatory alignment.

The role requires a quantitative degree and experience in model risk or governance within banking, with exposure to AI governance standards and strong communication with stakeholders.

Qualifications

• Degree in statistics, mathematics, actuarial science, data science, economics, finance, engineering, or related field.
• Experience in model risk management, validation, or governance in banking is advantageous.
• Knowledge of AI governance and regulatory guidance (BNM/MAS) is preferred.
• Ability to assess AI/ML risks such as explainability, fairness, robustness, and drift.

Responsibilities

• Manage 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 others.
• Assess model risk for AI use cases, including FEAT assessments and AI-specific risk assessments.
• Review model documentation, test implementations, and assess performance through reviews.

Skills

Model risk management

Stakeholder management

Communication

Automation

Education

Quantitative degree

Job description

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.

Job Responsibilities:

• 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.

Requirements:

• 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.