Flood modeller (Hybrid / m/f/x/d / 100%)
Zurich, Zurich, CH
Are you looking for a unique opportunity to bring Swiss Re's catastrophe model development to the next level?
Do you want to be at the intersection of science and its business application in re/insurance?
About the Role
In this Flood modeller role, you will have the unique opportunity to shape the future of Swiss Re's flood risk models, working closely with peers in the global Cat Perils team as well as with the teams, who apply the models for making the right business decisions.
Your Main Responsibilities will include:
- Contribute to Cat Perils global agenda with a business impact attitude, delivering tangible outcomes with a sense of urgency
- Build, maintain, and communicate the next generation of Nat Cat models globally and for Europe, Middle East and Africa (EMEA) in particular, with a focus on flood and other weather perils
- Contribute to and lead cross-regional team projects
- Establish yourself as a point of contact for Nat Cat related questions, with senior expertise in flood and other weather perils.
About the Team
You would be joining the Cat Perils EMEA & Methods team, one of the three regional teams in the Cat Perils department. The Catastrophe Perils ("Cat Perils") department 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 are winning an outstanding teammate with excellent social competences and strong technical capabilities.
Technical skills and education:
- Master’s degree or higher in quantitative natural sciences, engineering or equivalent with expertise in flood dynamics and modelling
- 2+ years' experience in natural catastrophe modelling (probabilistic models, flood), preferably in a re/insurance context
- In-depth knowledge of climate-change-related topics and extreme weather events in particular
- Strong analytical and programming skills (e.g., Python, Matlab, and SQL), with a record in successfully developing data analysis applications
- Strong project management, communication, and presentation skills
- Excellent written and verbal English, additional languages are a plus
A clear plus would be (re)insurance underwriting experience and familiarity with machine learning techniques.
Personal skills and interests:
- High degree of own initiative and interest for interdisciplinary work
- You approach problems with curiosity and flexibility, are a fast learner and eager to take responsibility.
- Ability to build trust with peers in business teams by providing relevant and deep insights
- Pragmatic to balance technical excellence with business needs
- Ready to own and curious in how our insights impact UW decisions
- Agile in response to stakeholders' needs focusing on where it matters most
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. We cover both Property & Casualty and Life & Health. 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.
Keywords:
Reference Code: 132123
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data analysis Engineering Machine Learning Matlab ML models Python SQL
Perks/benefits: Career development Flex hours Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.