Capital Modelling Actuarial Analyst

We’re looking for someone interested in quantitative/actuarial analysis and investment instruments. You will have the opportunity to develop experience with industry established risk engines and develop market risk modelling within a Solvency II approved Internal Model.

This role sits within the Capital Management team and supports MSIG Europe’s Internal Model and Standard Formula Solvency Capital Requirements (SCR).

• Running and maintaining the Economic Scenario Generator (ESG), ensuring it is accurately calibrated and fully integrated into the Internal Model for both regulatory and internal reporting purposes.
• Analysing the asset portfolio of MSIG Europe to ensure alignment with the company’s risk appetite, while also assessing valuation and performance of those assets.
• Reviewing and validating reinsurance structures to identify potential capital efficiencies, and carrying out sensitivity and stress testing.
• Supporting the annual strategic planning process by providing capital modelling insights for setting next year’s financial targets, including Loss Ratio and Return on Capital analysis.
• Leading or contributing to deep-dive reviews to enhance capital efficiency across different risk types within both the Internal Model or Standard Formula.
• Assisting with various annual reporting deliverables, including Profit and Loss, and SCR reports.
• Gaining exposure to both Internal Model and Standard Formula reporting frameworks.

The role is varied and will require adaptability, strong problem-solving skills, and the ability to tailor existing processes to new situations. You will also need to stay up to date with developments in capital modelling, ESG methodologies.

Additionally, MSIG Europe plans to submit an Internal Model application to the National Bank of Belgium, offering a unique opportunity for professional growth and a steep learning curve.

• Enjoy working with a range of stakeholders across the business
• Thrive in a technical environment and like contributing to technical discussions

• A 2:1 university degree or higher in a subject with mathematical content
• Ideally, some prior experience in modelling
• Experience using Tyche and SQL database management systems would be an advantage

• A supportive and collaborative team environment
• An open mind (especially to new ideas and ways of doing things)
• An environment where autonomy is given and expected
• A strong commitment to diversity, inclusion, and equal opportunities
• Access to wellbeing and mental health support programmes
• Flexible working options
• Ongoing learning and development opportunities