Job Summary

• This is a non-life insurance specific role within the Corporate Actuarial team. The candidate will manage a team of actuarial analysts supporting the Head: Corporate Actuarial with reserve calculations, IFRS 17 reporting, capital management and regulatory reporting.

Job Description

• Reserving 
• Build processes and data extracts to feed into reserving calculations, including IFRS 17 calculations
• Have a good understanding of the policy administration system and corresponding data flow into financials
• Monitoring reserve development experience and collaborating with key stakeholders to ensure understanding of trends and impacts on the business
• Communicate results to key stakeholders
• Regulatory Reporting
• Operate the SAM regulatory capital model
• Maintain and further develop the Python code underlying the model
• Have a good understanding of policy administration system and data flow into financials
• Communicate results to key stakeholders
• Continuous improvement and automation of the various models
• Own Risk and Solvency Management (ORSA)
• Operate the ORSA projection model
• Set and monitor quantitative risk appetite metrics
• Perform stress and scenario testing as part of the Company’s ORSA processes
• Maintain the ORSA model and identify areas of improvement
• Communication of results to key stakeholders
• People Responsibilities
• Manage a small team of actuarial analysts
• Manage deliverables and timelines in own team

Education and experience required

• A Degree in Actuarial Science (Honours degree would be advantageous)
• At least 5 years actuarial work experience within the non-life insurance industry
• Newly or nearly qualified actuary with good exam progression towards qualifying as a Fellow actuary
• Good understanding of the SAM Financial Soundness Standards for Insurers (FSIs) and experience in performing capital calculations
• Experience in non-life reserving techniques
• Experience in IFRS 17 reporting would be advantageous
• Experience in extracting and transforming data and designing automated processes
• Programming in SQL, Python or VBA would be advantageous

Knowledge and skills

• Strong analytical skills with the ability to take on complex problems
• Good understanding of insurance policy administration and financial systems
• Comfortable adapting and responding to change
• Excellent written and verbal communication skills
• Excellent time management skills with the ability to prioritise deliverables and manage stakeholder expectations
• High degree of motivation and initiative

Education

• Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)