Manager, Quantitative Risk

We believe that effective risk management will help us safely navigate the volatile and complex business and regulatory environments to achieve success. In Income, our Risk Management Department drive risk management agenda, ensure sound and effective risk management framework and promote risk culture. We work in close partnerships with our business and other stakeholders to achieve the desired business and risk outcomes. We stay relevant and therefore, getting better and sharper at what we do is the constant.

ABOUT THE ROLE:

We are seeking an experienced and driven Quantitative Risk Manager to join our Risk Management team. The ideal candidate will have a strong background in risk quantification, capital management, and regulatory frameworks within the insurance industry. This role is critical in supporting the development and implementation of risk appetite frameworks, capital allocation strategies, and quantitative risk assessments.

KEY RESPONSIBILITIES INCLUDE:

• Lead the calibration of risk appetite and tolerance levels for the company.
• Develop and maintain risk capital budgeting and allocation models.
• Perform quantitative risk assessments and scenario analyses to support strategic decision-making and ORSA report.
• Build and maintain risk quantification models.
• Update and maintain Recovery and Resolution plan.
• Participate in other projects across teams and departments.

REQUIREMENTS:

• Degree in Actuarial/Statistics/Quantitative Finance or a related field.
• Minimum 7 years of relevant experience.
• Strong understanding of risk quantification methodologies.
• Familiarity with the RBC2 framework and its practical application.
• Strong analytical, problem-solving, and communication skills.

• Ability to work independently and collaboratively in a cross-functional environment.

• Professional certifications such as FRM, CFA, or actuarial qualifications are a plus.

• Experience with IFRS17 is preferred.
• Experience with investment management is an advantage.
• Programming skills in VBA, Python, Prophet, or SQL are a strong advantage.