Actuarial Reserving Intern - CorSo m​/f​/x​/d

Are you a talented student or recent graduate with a passion for numbers and analytics? Join our Corporate Solutions (Cor So) team in Zurich and kickstart your career in the dynamic world of actuarial science! This internship offers a unique opportunity to apply your technical skills in a real-world insurance environment while working alongside industry experts.

As an Actuarial Reserving Intern in our Cor So team, you'll gain hands-on experience with cutting edge analytical tools and methodologies while contributing to meaningful projects that impact our business decisions.

• Develop and optimize program codes using statistical software R and Microsoft Power BI to support process automation
• Support the analysis of quarterly reserve estimations for Corporate Solutions insurance portfolios
• Contribute to the development of deep-dive analyses and statistical reports that provide valuable business insights
• Collaborate with team members on various projects and initiatives to enhance reserving processes
• Assist in ad hoc analyses and tasks that support the broader actuarial function

The Zurich actuarial reserving team in Corporate Solutions consists of actuaries and data scientists with diverse cultural backgrounds. We value a good team and collaborative spirit. We frequently interact with many stakeholders from different functions. Therefore, we value strong communication skills on top of technical expertise.

You're an analytical thinker with strong technical aptitude and a curiosity about the insurance industry. You enjoy solving complex problems and are eager to learn in a professional environment. You thrive both working independently and as part of a collaborative team.

• Student or recent graduate with technical background such as mathematics, actuarial science, physics, or other quantitative subject
• Broad experience with developing program codes using R or Python
• Strong quantitative and analytical skills
• Independent thinker who works well in a team setting
• Fluent in English

• Experience with visualization tools such as Microsoft Power BI or Tableau
• Knowledge of insurance or reinsurance concepts
• Previous internship experience in a related field
• Additional language skills

The start date is as soon as possible with an internship duration of 3 to 6 months, depending on availability and agreement.

We look forward to receiving your application! Note for non-EU/EFTA and UK citizens
:
Due to immigration regulations, you must provide a certificate from a Swiss university confirming that an internship is integral to your course of study. Please submit this mandatory letter with your application documents.

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

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.