Actuarial Intern, Group Life
Singapore, 01, SG
Munich Re Group is one of the world’s leading providers of reinsurance. As pioneers in risk assessment, we drive the digital transformation of the global insurance landscape, expanding products and services as new forms of risk emerge. From space rocket launches to cyber-attacks, from high-net worth individuals to pandemics, we take care of risks so our clients can take care of their businesses.
The Munich Re Group Life team provides comprehensive pricing, underwriting, and technical support to clients across Southeast Asia, helping insurers deliver competitive and sustainable group employee benefits solutions.You will support our pricing, ongoing portfolio monitoring and accounts reconciliation functions.
We are seeking an Intern available for a full-time commitment from May to December 2026 only – please apply only if you can commit to this period.
Your Role
- Assist with performing pricing and risk assessment of group schemes
- Perform reconciliations of premium and claims bordereaux submitted in accordance with treaty terms
- Assist with data transformation, modifying existing Excel spreadsheet/ SQL codes to support premium and claims calculation, running software to support the validation and reconciliation of numerical results
- Development of database for portfolio monitoring
Your Profile
- Pursuing a Bachelor's degree in Actuarial Science/Mathematics/Statistics/Data Analytics
- You have a basic understanding of key actuarial concepts.
- You are familiar with basic actuarial tools including Excel (can maintain complex spreadsheets), SQL, and R
- You are analytical, investigative and possess good problem-solving skills
At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.
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Technical Support, Database, SQL, Technology