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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 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, contributing to live use cases from understanding the business question and exploring data through to building, testing and presenting solutions. You will receive guidance from experienced team members while taking meaningful ownership of defined pieces of work.
Responsibilities
- 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.
- Contribute ideas for improving existing tools, analytical methods and ways of working.
- Build practical knowledge of underwriting, portfolio management, data engineering and analytical product development.
Requirements
- 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.
- 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.
- Ability to work collaboratively while taking ownership of defined tasks.
- An interest in insurance, reinsurance, underwriting, portfolio management or data-driven commercial decision-making.
Skills
- Python
- SQL
- Palantir
- Data analysis
- Data transformation
- Analytical programming
- AI-enabled product development
- Analytical capabilities
Work Type
- 6 month internship
- Hybrid
Experience Level
- Intern
Education Level
- Degree in a quantitative, technical or commercially relevant discipline
Salary/Compensations
- Salary range to be shared during the interview process
About the Company
- Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient.
- We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.
- We cover both Property & Casualty and Life & Health.
- Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.
- This is possible thanks to the collaboration of more than 15,000 employees across the world.
- Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.
- We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.
- In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
- If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
- We may use AI-powered tools to support the review and evaluation of applications for this position.
- These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people.
Equal Opportunity
- We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.