
Summer Internship 2025 - Actuarial Intern, Property & Casualty (Non-Life)
- Internship, onsite
- Munich Re
- Singapore, Singapore
Salary undisclosed
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- You will assist in updating the Marine Static Risk Register, which includes collating, cleansing and geocoding risk addresses.
- You will assist in researching for industry statistics and information to provide invaluable insights to our day-to-day tasks and projects.
- You will provide support in actuarial activities including pricing, portfolio-related analysis and updates of rating tools.
- You will assist in task / projects led by the Senior Actuary in the APAC Marine team.
- You may assist in preparing materials for the Marine team in their presentations (internally or externally).
- You will learn about the reinsurance and insurance business, and will interact regularly with underwriters at the Munich Re Singapore office.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance or other related business disciplines
- Prior experience in programming in R and /or Python will be an advantage
- Ability to work independently and collaboratively in a team setting
- Possess eagerness and willingness to master new tools and technologies such as Power BI, ArcGIS etc.
- You will assist in updating the Marine Static Risk Register, which includes collating, cleansing and geocoding risk addresses.
- You will assist in researching for industry statistics and information to provide invaluable insights to our day-to-day tasks and projects.
- You will provide support in actuarial activities including pricing, portfolio-related analysis and updates of rating tools.
- You will assist in task / projects led by the Senior Actuary in the APAC Marine team.
- You may assist in preparing materials for the Marine team in their presentations (internally or externally).
- You will learn about the reinsurance and insurance business, and will interact regularly with underwriters at the Munich Re Singapore office.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance or other related business disciplines
- Prior experience in programming in R and /or Python will be an advantage
- Ability to work independently and collaboratively in a team setting
- Possess eagerness and willingness to master new tools and technologies such as Power BI, ArcGIS etc.