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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.

• 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.

• 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

Imagine working in one of the world’s most sustainable workplaces. At Quai Zurich Campus, you’ll enjoy an environment designed to help you thrive, with benefits that support your well-being and impact, and opportunities to perform at your best, surrounded by top talent and supportive colleagues.

You’ll have access to healthy food options, fitness facilities, and bright, collaborative spaces that spark creativity. Located in the heart of Zurich on the shores of Lake Zurich, the campus offers excellent public transportation links, making your commute simple.

Grow with us through access to learning resources, on-the-job development, and continuous empowerment and support. Be part of a team that is creating a brighter future together.

Zurich is a leading multi-line insurer, serving over 75 million customers in more than 200 countries and territories with around 63,000 employees. For over 150 years, Zurich has been transforming insurance – offering not just protection, but also prevention services that promote well-being and climate resilience. Guided by our purpose to ‘create a brighter future together,’ we aim to be one of the most responsible and impactful businesses in the world.

We look forward to receiving your online application today!

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.

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 - Zürich
• Remote working: Hybrid
• Recruiter name: Magdalena Klimczyk