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Swiss Re

Group Underwriting Intern

Swiss Re is hiring a Group Underwriting Intern in London, United Kingdom. Level rates it ; you can apply on Swiss Re.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Palantir, Python and SQL among its tools and skills.
  • Level classes it as an internship.
  • Swiss Re has 229 other open roles on Level.
  • Posted within the past week.

AI in this role

Intern role supporting underwriting portfolio strategy through data analysis, Python/SQL scripting, and Palantir workflows.

PalantirPythonSQL
data-engineeringanalyticsunderwritingdata-visualization

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 work alongside 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. You will receive guidance from experienced team members while taking meaningful ownership of defined pieces of work.

Key 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.

About the Team

The Portfolio Strategy & Steering team brings together underwriting portfolio management, engineering, data and advanced analytical capabilities.

The team operates as one integrated group, with team members holding distinct but complementary accountabilities and jointly responsible for priorities, quality and impact.

Interns are treated as contributing members of the team and are given meaningful work aligned with current underwriting portfolio priorities.

About You

You are intellectually curious, analytical and motivated by solving difficult, real-world problems. You are interested in how data and technology can improve commercial decisions and want to apply your skills in a practical business environment.

You enjoy working with data, learning unfamiliar concepts and turning analysis into clear conclusions. You are comfortable asking questions, testing assumptions and taking responsibility for the quality of your work.

You do not need prior underwriting experience, but you should be interested in understanding the business context and decisions behind the work you undertake.

We are looking for candidates who 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.
  • ability to work collaboratively while taking ownership of defined tasks.
  • an interest in insurance, reinsurance, underwriting, portfolio management or data-driven commercial decision-making.

Please note; This is a 6 month internship, ideally starting in February 2027. There will be an expectation to attend the office at least 3 days/ week, with the option for remote working on the remaining days.

The base salary range for this position will be shared with you during the interview process.

About Swiss Re

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. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords:
Reference Code: 139793

How we rate this

Group Underwriting Intern at Swiss Re rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringAnalyticsUnderwritingData VisualizationPalantirPythonSQL

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where analytics was part of your work. What did you do?
  3. Tell me about a project where underwriting was part of your work. What did you do?
  4. Tell me about a project where data visualization was part of your work. What did you do?
  5. Walk me through how you've used Palantir in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Analytics, Underwriting, Data Visualization, and Palantir. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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