Business Function
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.
The aim of the model validation team is to (1) limit the Bank’s exposure to model risk by regularly validating all relevant models as mandated; (2) provide in-depth analysis and comments for Senior Management and (3) meet regulatory expectations in this regard.
Responsibilities
- Under appropriate supervision,
- Critically assess the development and performance of IFRS9 Expected Credit Loss Model, Economic Capital Model, credit risk-related models built with econometric models or machine learning models.
- Contribute towards the assessment of inputs, methodologies, assumptions, and parameter estimates in the validation process of credit risk models.
- Contribute to the development of strong professional relationships within and across validation teams, as well as with model developers.
Requirements
- Degree in a quantitative discipline (e.g., Statistics, Mathematics, Quantitative Finance, Computer Science, Engineering) is preferred.
- Minimum 3 years of relevant work experience.
- Exceptional quantitative and statistical proficiency, demonstrated through a strong command of statistical software, particularly Python.
- Candidates with keen interest in and knowledge of machine learning models are preferred.
- Self-motivated and a desire to learn and develop professionally.
- Reasonably good communication skills (both oral and written).
- Ability to work in a team and under pressure.
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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.
