Associate, Model Validation, Risk Management Group

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 market risk / liquidity risk / counterparty credit risk-related models built with econometric models, machine learning models, or stochastic pricing models.
  • Contribute towards the assessment of inputs, assumptions and parameter estimates relating to the validation of the market risk / liquidity risk / counterparty credit risk-related models.
• Contribute towards developing strong professional relationship within and across validation teams as well with model developers.

Requirements

• Degree in a quantitative discipline (e.g. Computer Science, Mathematics/Statistics, Quantitative Finance, Engineering) is preferred
• Minimum 3 years' of relevant work experience
• Outstanding quantitative skills (including working knowledge of statistical software such as R, Python, etc.
• Familiar with machine learning models and/ or pricing models
• 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.