Group Underwriting Intern

Key facts

What you bring

• Current study towards, or recent completion of, a degree in a quantitative, technical or commercially relevant discipline.
• Practical experience using Python, SQL or another analytical programming language through academic, personal or professional projects.
• Experience developing AI-enabled products or analytical capabilities would be an advantage.
• Ability to work with data, structure analytical problems and communicate findings clearly.
• Strong problem-solving capability, attention to detail and intellectual curiosity.
• Willingness to learn new technologies, analytical methods and business concepts.

Your tasks

• Support the development of underwriting-specific data products, analytical tools and Palantir workflows.
• Explore and analyse portfolio data to identify patterns, performance drivers, concentrations, dependencies and potential areas for further investigation.
• Develop data transformations, analytical components, visualisations and prototypes using Python, SQL or other relevant tools.
• Support testing, validation and documentation to help ensure that solutions are reliable and understandable.
• Work with team members and users to understand the business questions behind the analysis.
• Present analytical findings and explain the approach, assumptions and limitations clearly.

What they offer

• 6-month internship starting February 2027 with expectation to attend the office at least 3 days per week and option for remote working on remaining days.
• Base salary range shared during the interview process.
• Opportunity to work in an inclusive and flexible environment at Swiss Re, one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer.

About the role

As an Intern in the integrated Portfolio Strategy & Steering team, you will work on real underwriting portfolio questions using data, engineering and analytical techniques. You will collaborate with underwriting portfolio managers and experienced engineers to explore portfolio data, investigate risks and opportunities, and develop practical analytical tools predominantly in Palantir. This is a hands-on role offering exposure to the full delivery lifecycle. You will contribute to live use cases, from understanding the business question and exploring data through to building, testing and presenting solutions. Guidance is provided by experienced team members while you take meaningful ownership of defined pieces of work.

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