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.
Responsibilities
- Conduct independent validation of models, including AIML models, credit risk, and market risk models.
- Assess inputs, assumptions, conceptual soundness, and empirical performance of models.
- Collaborate closely with model developers, risk managers, and other stakeholders to understand model purposes and applications.
- Communicate validation results and provide constructive feedback to model developers.
- Ensure models comply with regulatory requirements and internal risk management policies.
- Stay updated on relevant regulatory guidelines (e.g. new requirements on artificial intelligence/machine learning models) and industry best practices in model validation.
Requirements
- Degree in a quantitative discipline (such as Statistics, Mathematics, Quantitative Finance, Data Analytics or equivalent) is preferred
- At least 5-7 years of experience in related area
- Outstanding quantitative and programming skills (e.g. Pyspark, Python, etc.)
- Strong knowledge of statistical analysis, econometrics, machine learning techniques, and Large Language Models
- Understanding of regulatory requirements and guidance related to model risk (e.g.,MAS 637, FEAT Principle)
- Self-motivated and a desire to learn and develop professionally
- Good written and verbal communication skills
- Ability to work independently and collaboratively in a team environment
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements.
