Risk Management Group (RMG) is responsible for the development and maintenance of risk management and internal control frameworks. We provide independent review and challenge to business to ensure that appropriate balance is considered in risk/return decisions. In addition, RMG is responsible for the monitoring and reporting on key risk issues of the Bank. To manage risk effectively and deliver strong financial performance, we invest significantly in our people and infrastructure.
Job Purpose
The team is responsible for the end-to-end process of regulatory stress testing and IFRS 9 general provisioning, encompassing model development, execution, reporting, and stakeholder engagement. This role primarily focuses on credit risk stress test execution for ICAAP, IWST, and Pillar 1, as well as development and enhancement of IFRS 9 and stress testing models. Emphasis is placed on retail exposures, though exposure to non-retail portfolios is advantageous. Role rotation within the team is expected to foster integration and career progression.Job Duties & Responsibilities
Stress Testing Execution & Analytics
- Execute credit risk stress testing under Pillar 1, IWST, SDST, ICAAP, and other MAS/HKMA regulatory requirements.
- Conduct deep dives and trend analyses of stress test results to derive insights and highlight key risk areas.
- Evaluate the intuitiveness and credibility of stress outcomes, with a focus on retail behavior under stress.
- Support model development, enhancement, and recalibration for IFRS 9 ECL models, especially for PD, LGD, and EAD models
- Propose and develop improvements to methodologies, championing conceptual soundness and regulatory alignment.
- Monitor model performance in use and provide feedback to enhance model reliability and business relevance.
- Lead systemisation and tech initiatives by documenting user requirements, reviewing specifications, and conducting user acceptance testing (UAT).
- Explain and defend methodologies, assumptions, and results to key stakeholders including Senior Management, Model Validation, Internal Audit, and Regulators.
- Collaborate with internal teams (e.g., Finance, Risk, Technology) to align model usage, reporting, and governance.
- Identify and implement process improvements to enhance the team's operational efficiency.
- Contribute to knowledge sharing and role rotations to strengthen cross-functional capabilities within the team.
- Strong understanding of statistical, econometric, and modelling theories, with practical application in credit risk modelling (particularly for retail exposures).
- Knowledge of credit and business banking products, including how they behave under stress conditions
- Proficiency in Python, Pyspark, Excel and SQL for data analysis and model development.
- Experience in developing and using IFRS 9 and stress testing models (PD, LGD, EAD), with understanding of regulatory expectations under IFRS 9, MAS 637, and Basel standards.
- Strong team player with a collaborative mindset and willingness to contribute across functions.
- Demonstrated ability in stakeholder management, including interaction with senior management, model validators, auditors, and regulators
- University graduate or post-graduate with major in Finance, Statistics, Mathematics, Economics or other quantitative discipline
- Minimum 10 years of relevant experience in areas described above
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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