Business Function
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.
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

• Outstanding quantitative skills (including working knowledge of statistical software such as Python, R etc.
• Familiar with statistical models, pricing models and machine learning models
• Self-motivated and a desire to learn and develop professionally
• Contribute towards team building and maintaining team morale
• Reasonably good communication skills (both oral and written)
• Ability to work in a team and under pressure.
• Above 3 years relevant experience

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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

• 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