Assistant Vice President

The incumbent, working within the Group Risk team, will have broad responsibilities in managing the portfolio risks arising from our financing and distribution activities. He/She should have a strong risk mindset to ensure adherence to the risk culture of “no surprises” within the Company.

Amongst other activities, the successful candidate would be involved in the following tasks:

• Measure the risks (including concentration risk) of the portfolio through the computation of relevant risk measures (e.g. expected credit losses). This includes having oversight of existing risk models to ensure that are performing up to expectations through active monitoring and review of assumptions;
• Development of new risk models / redevelopment of existing models (e.g. IFRS 9 PD models, LGD models, etc) to cater to the evolving portfolio composition (new products, geographies, industries, etc);
• Perform valuations of individual credits by applying appropriate and intuitive methodologies. This includes review of model parameters and assumptions to ensure the continuing relevance of valuations;
• Analysis of the portfolio to provide the Board/senior management with necessary insights on potential vulnerabilities and risks. This includes performing stress testing and reverse stress testing;
• Monitor financial markets and world events to assess the potential impact on the portfolio and to take necessary remedial actions, when required;
• Analyse market risk elements such as interest rate risk and FX risk, in particular relating to the fair value portfolio;
• Ownership and continuous review of risk policies to ensure they remain relevant and align with risk principles within the firm;
• Assist in the continuous improvement of the firm’s technology architecture through the Technology Transformation process, as well as implement the risk aggregation system to facilitate data consolidation at the group level;
• Participate in the new product approval process to ensure that risks arising from new business developments are properly managed;
Engage with auditors as and when required.

Knowledge/ Experience Required:

• Degree in Computational Finance, Business Statistics, Actuarial Science, Finance / Economics or a related subject;
• Comfortable with the handling and analysis of large databases;
• Strong analytical skills with an aptitude towards numerical analysis;
• Relevant IT/programming skills e.g. R-script, Python;
• Good communication skills (both written and verbal);
• A strong team player with the ability to demonstrate initiative and work well with minimal supervision and within tight timeframes.