Job Description

Interested in exploring the world of Catastrophe Modelling? Curious about working in a dynamic and enriching environment of a multinational company? We are offering a unique opportunity to leverage your skills in a highly specialized and diverse global team.



Zurich's Group Accumulation Management function delivers thought leadership and actionable insights to the business regarding natural and man-made catastrophes. Using both internal and externally sourced Cat Modeling capabilities, we assess accumulation risk globally. Our comprehensive approach to accumulation risk is an essential component of Zurich's Risk Management and Underwriting function that supports the optimization of our portfolios, delivers sustainable and profitable growth and is striving to understand current and emerging risks including cyber, casualty cat and climate change. The Cat Research & Development team plays a key role on our transformation journey embracing science and technology.



We are looking for an enthusiastic intern with a deep knowledge of at least one natural catastrophe field and/or who has a strong background in statistics, risk assessment, computer science and/or machine learning. The optimal candidate is eager to extend his/her work to different cat topics and is keen to make a positive impact on the overall business.

What you will do

Support natural and man-made catastrophe risk related research and development projects for the Group Accumulation Management function and translate the research insights into positive impacts for the business. Adapt existing models to reflect risk changes and climate change scenarios, and leverage model insights to generate business opportunities. Leverage data analytics, artificial intelligence and machine learning techniques to enhance the Zurich View of risk, data quality assessment and/or augmentation and to transfer insights to non-modelled regions, etc.

What you bring

Completed Bachelor's degree level qualification in a quantitative field (e.g. Engineering, Mathematics, Physics, Geography) Quantitative background and strong analytical skills Working experience in programming a high-level language like R or Python An active enrolment at University is required

Additional Information

We look forward to receiving your online application.

At our Quai Zurich Campus, our culture and our people are what set us apart. We thrive on face-to-face interactions that drive collaboration, nurture our unique culture, and amplify our success. Enjoy the best of both worlds with the flexibility to work up to two days remotely per week within Switzerland, allowing you to balance personal commitments while excelling in your career. Please discuss your flexibility needs with us during your interview.

Who we are

At Zurich, we foster a culture of diversity and inclusion. Our 53,000 employees worldwide live our values to protect you, to inspire confidence and help you reach your full potential. We promote opportunities for equity among our professionals, regardless of gender, differently abled, LGBTQ +, race, ethnicity, generations, belief, etc.



Find out more About Us.



To protect both you and our employees, we might have interviews and onboarding remotely leveraging digital technologies and tools. You will receive more information as you progress in your journey with us.

Detailed information about Next Generation Career Opportunities can be found here.

Information for recruitment agencies

Zurich does not accept any applications from recruitment agencies for this position. We refuse any responsibility for unsolicited applications as well as any associated fees.

Why Zurich

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We are an equal opportunity employer who knows that each employee is unique - that's what makes our team so great!

Join us as we constantly explore new ways to protect our customers and the planet.
Location(s): CH - Zurich Remote working: Hybrid * Recruiter name: Magdalena Klimczyk