AI Model Risk & Governance Manager (12-month contract)

The Bank of East Asia (BEA); Hong Kong; On-site; HKD 700,000 - 1,000,000; Full time

Job summary

The Bank of East Asia (BEA) is seeking a forward-looking Risk Manager to join the AI Model Governance team within the Risk Analytics and Governance Department (RAGD) in Hong Kong. You will execute AI model risk assessments, apply the risk taxonomy, and support residual risk framework while coordinating with developers, data scientists, and business units.

Responsibilities include assessing AI use cases, executing policy maintenance, monitoring model performance for drift and bias, and staying

Qualifications

• Bachelor’s or master’s degree in a quantitative field is preferred.
• 3–5 years of experience in Model Risk Management, Governance or Data Science in financial services.
• Understanding statistical modeling and ML algorithms (e.g., NLP, tree-based models, deep learning) and their risks.
• Knowledge of AI evaluation standards: Explainability (XAI), fairness, robustness.
• Proficiency in Python or R, with libraries like NumPy and Pandas.
• Experience with banking governance platforms is a plus.
• Familiarity with HKMA guidance on AI and SR26-2.
• Ability to work in a fast-paced environment with evolving AI regulations.
• Excellent English written and verbal communication to explain risk findings.
• Hands-on, detail-oriented contributor ensuring accurate documentation and risk evaluations.

Responsibilities

• AI Use Case Assessment & Review: perform initial risk assessments to categorize risk levels.
• Framework Execution: apply AI Model Risk Taxonomy and support residual risk framework development.
• Monitoring & Compliance: review model performance monitoring for data drift, decay, and bias; monitor HKMA/MAS guidance.
• Stakeholder Advisory: guide model developers and business units on documenting purpose, risk tiers, and approvals.

Skills

Statistical Modeling

ML Algorithms

Python or R

Data Science Libraries

Regulatory Knowledge

English Communication

Documentation

Education

Bachelor’s or Master’s degree in Statistics/Analytics/Data Science/Math/Quant Finance/ Risk Mgmt / CS

Tools

NumPy

Pandas

Governance Platforms

Job description

We are seeking a forward-looking and detail-oriented Risk Manager to join our AI Model Governance team within the Risk Analytics and Governance Department (RAGD). This team provides second-line oversight, review, and challenge for AI/ML model risk initiatives across the Bank.

Reporting to the Senior Manager of AI Model Governance, you will play a crucial role in operationalizing the Bank’s Responsible Use of AI framework. You will be responsible for the day-to-day execution of AI model risk assessments, ensuring that our risk taxonomy and review standards are rigorously applied. This is a unique opportunity to gain exposure to a wide range of AI applications in a leading financial institution and contribute directly to the firm’s evolving risk management landscape.

Responsibilities:

• AI Use Case Assessment & Review: Perform initial risk assessments on new AI initiatives to evaluate impact, reliance, and complexity. Ensure use cases are correctly categorized (High, Medium, Low, or Whitelisted) within the governance pipeline.
• Framework Execution & Policy Maintenance: Apply and maintain the AI Model Risk Taxonomy, ensuring all risks, from Generative AI to traditional regressions, are identified and mapped to appropriate controls. Support the Section Head in developing and operationalizing the Residual Risk Framework by identifying gaps between inherent risks and existing controls.
• Monitoring, Inventory & Compliance: Review model performance monitoring reports, identifying AI-specific issues such as data drift, model decay, and output bias, etc. Monitor local and international regulatory developments (e.g., HKMA guidance, MAS AI Risk Operationalization Handbook) and perform gap analyses to ensure internal standards remain compliant.
• Stakeholder Advisory & Support: Work closely with model developers, data scientists, and business units to provide guidance on documenting model purpose, risk tiers, and navigating the approval process.

Requirements:

• Bachelor’s or master’s degree in a quantitative field (e.g., Statistics, Analytics, Data Science, Mathematics, Quantitative Finance, Risk Management or Computer Science, etc.) is preferred
• 3–5 years of experience in Model Risk Management (MRM), Model Governance, or Data Science within the financial services industry
• Understanding statistical modeling and machine learning algorithms (e.g., NLP, Tree-based models, Deep Learning) and their associated risks
• Understanding technical standards for AI evaluation, including Explainability (XAI), Fairness, and Robustness
• Proficiency in Python or R is highly preferred, including experience with data science libraries (e.g., NumPy, Pandas)
• Experience with banking governance platforms is a plus
• Understanding of HKMA’s guidance on AI and general Model Risk Management requirements (e.g., SR26-2)
• Ability to work effectively in a fast-paced environment with evolving AI regulations and limited precedents
• Excellent English written and verbal communication skills, with ability to explain technical risk findings to non-technical stakeholders and challenge the status quo constructively
• Exceptional focus on accuracy across technical documentation and risk evaluations. A hands‑on contributor who is willing to dive into the details to ensure all operational and governance requirements are met

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.