Business Functions
Risk Management Group works closely with our business partners to manage the bank’s risk exposure by balancing its objective to maximise returns against an acceptable risk profile. We partner with origination teams to provide financing, investments and hedging opportunities to our customers. To manage risk effectively and run a successful business, we invest significantly in our people and infrastructure.
Job Summary
Develop, maintain, and support the implementation of credit risk methodologies and PD, LGD and EaD models for Corporate, Financial Institutions, Specialized Lending, and Wealth Management portfolios, in compliance with internal standards and relevant regulations, including those relating to MAS and HKMA.
Responsibilities
Develop, implement and maintain Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EaD) models and credit risk methodologies for Corporate, Financial Institutions, Specialized Lending, and Wealth Management portfolios, for regulatory (eg. IRB) purposes
Conduct assessment of climate risk scenarios and translation of climate risk scenarios to credit risk projections
Prepare and maintain clear and detailed documentation of model developments and reviews
Liaise with and support the monitoring and implementation teams on ongoing model monitoring and (ii) model implementation into various risk systems, providing model specifications and testing system functionality prior to deployment
Support the internal models’ approval and governance processes, providing detailed explanations and justification of modeling decisions and assumptions and addressing potential issues, particularly those relating to Model Validation and Internal Audit’s reviews
Support external models’ approval and governance processes, providing necessary explanations, justifications and analyses, particularly those relating to regulatory/supervisors’ assessments and external auditors reviews
Liaise with business and product management to provide risk analytics solutions for enhancing the credit risk-return tradeoff
Research, propose and develop enhancements of existing models, to improve accuracy, risk discrimination, forward-looking capability and responsiveness to economic environment, considering the evolution in the relevant regulatory environment, academia and industry
Requirements
University graduate or above plus a minimum of 10 years hands-on experience in related areas
At least 10+ years of experience in leading the development, monitoring and maintenance of credit risk models including Basel 2 PD, LGD, and EAD models for wholesale portfolios
Experience of end to end use of models through to capital calculation
Understanding of statistical / econometric / modelling theory and technical applications in the area of credit risk
Good understanding of the Basel II Accord, MAS and HKMA Supervisory Requirements
Good knowledge of credit process and business products
Excellent communication and writing skills
Strong team player with leadership experience
Working knowledge of SAS and Excel is essential. Knowledge in R and Python will be an added advantage
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We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.