Wildfire Peril Lead (Natural Catastrophe Risk) (Hybrid - m/f/x/d - 80% - 100%)

We are looking for a new team member to join the Cat Perils EMEA & Methods team, part of Swiss Re's global in-house natural catastrophe modelling unit. While the position is Zurich-based, the mandate of Wildfire peril lead is global.

About the Role

In this role you will own the Cat Perils agenda related to wildfire risk, including hands-on risk-view development, analytics and communication.

Your main responsibilities will include:

• Build, maintain, and communicate the next generation of Nat Cat models globally, with a focus on wildfire
• Contribute to and lead cross regional team projects
• Foster common view and narrative around wildfire risk in the re/insurance context, including the impact of climate change
• Engage with clients, investors, and media representatives on topics related to wildfire and Swiss Re's Nat Cat underwriting more broadly

About the Team

The Cat Perils EMEA & Methods team is one of the three regional teams in the Cat Perils department ("Cat Perils") which is responsible for Swiss Re’s global natural catastrophe risk assessment. With our proprietary modelling technology for natural catastrophe perils, we bring latest science to underwriting decision-making, working closely with peers in re/insurance underwriting and further support our business in all matters related to natural catastrophe risk. We create value for Swiss Re by driving confident Nat Cat decisions. 

About You

With you we win a colleague with excellent social competences and a keen interest into interdisciplinary work who contributes actively to our team spirit and is eager to take responsibility. As a fast learner with a high degree of own initiative, you approach problems with curiosity and flexibility.

Technical skills and education

• M.Sc. or Ph.D. degree in natural sciences or engineering (Ph. D. preferred)
• 6+ years of working experience, at least 4+ years in the re/insurance industry, underwriting experience is an asset
• In-depth experience with probabilistic natural catastrophe modelling for atmospheric perils. Proven experience/knowledge of wildfire risk modelling is a plus.
• Strong computer programming skills (e.g. Python, Matlab, R) and hands-on experience with geo-spatial data analytics
• Experience with statistics and machine learning, GIS is a plus.
• Strong mathematical, statistical, analytical and conceptual skills
• Solid project management skills
• Ability to communicate effectively through verbal and written mediums with technical and non-technical audiences
• Excellent verbal and written English

We are looking forward to your application!

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. 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 14,000 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.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

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