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About the Role
As a Climate Risk Specialist, you will contribute to the development of adaptation and resilience solutions across multiple hazards and geographies. You will support both methodological advancement and client-facing activities, gaining exposure to product development and applied risk analytics.
Key responsibilities include:
Supporting research and analysis of adaptation measures, including assessment of ROI and risk mitigation impacts
Contributing to the enhancement of our climate risk reporting framework by integrating diverse data sources into client-ready outputs leveraging AI solutions
Collaborating with cross-functional teams to refine methodologies and improve existing solutions
Engaging with clients to gather feedback, validate concepts and support product–market fit
This role offers hands-on experience in a collaborative, international environment and exposure to cutting-edge climate risk analytics.
About the Team
As climate change reshapes the global risk landscape, our Climate and Nature Team in Risk Engineering Services plays a key role in advancing innovative, data-driven solutions that help clients understand and manage physical climate and nature-related risks.
Operating at the intersection of science, analytics and product development, we support Swiss Re’s innovation and sustainability ambitions by delivering actionable insights that enable long-term value creation.
About You
You are a highly motivated and analytically strong professional with a passion for climate risk and sustainability and ideally bring prior relevant experience in applied or client-facing environments.
M.Sc. or Ph.D. in civil engineering, natural sciences, computational sciences, or a related technical field
Prior work experience in climate risk, resilience engineering, or related applied research (industry-focused experience is strongly preferred)
Experience in interacting with clients or stakeholders is a strong advantage
Strong understanding of physical climate risks, resilience strategies, and adaptation planning
Knowledge of regulatory frameworks related to physical climate risk is an asset
Excellent quantitative and analytical skills (Python proficiency)
Experience with AI tools such as AI Report Builder
Structured, self-driven, and solution-oriented working style
Strong communication skills and fluency in English
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week. The base salary range for this position will be shared with you during the interview process.
About Swiss Re Corporate Solutions
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.
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.
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