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Agriculture Risk Modeller
vor 2 Wochen
You will have the opportunity to work in a flexible environment that ranges from **80% to 100% **, and be a part of a high-performing team that is great to work with.
You will be part of the Agricultural Risk Modelling team and perform technical pricing and modeling of agricultural reinsurance contracts on a global scale. You will report directly to the Head of Agriculture Risk Modelling.
- As one of the largest reinsurers worldwide, we offer a dynamic and international environment.
- You can fully engage with the fascinating world of agriculture reinsurance business and meaningfully contribute to combining the art and science of risk to protect societies.
- We create an empowering and open team culture, offer you a high level of flexibility and invite you to our wonderful office space in Zurich.
- You are a Agriculture Risk Modeller and are responsible for your assigned markets.
- You perform pricing analysis of individual reinsurance contracts (transactional business) in a timely manner and consistent with the agriculture pricing methodology
- You develop technically robust loss models and methods in close cooperation with team members, underwriters and/or clients and third-party service providers
- You evaluate and calibrate Catastrophe Risk Modelling tools
- You regularly and proactively collaborate with underwriting specialists. You provide technical advice to UW and represent SCOR in client meetings and conferences
- You analyse weather, agriculture, and natural catastrophe risks, review scientific literature, and reach conclusions related to underlying hazards, such as drought, flood, frost and hail, and their impact on crops
- You contribute to SCOR communication and marketing related to agriculture, climate change and sustainability
- You bring in fresh ideas and together with the team develop the next level of agriculture pricing and modelling methods. You focus on advancing automatization, consistency, and speed
- A track record in pricing or underwriting specialty lines, agricultural risk modelling or natural catastrophe modelling
- Relevant years of work experience
- Excellent quantitative skills and experience with meteorological and/or agricultural data globally
- Powerful programming skills in R/R shiny or equivalent
- Excellent communication skills in English
- Following knowledge is an advantage
- Assessment of climate change impacts with a focus on agriculture
- Financial modelling and commodity market modelling
- Structuring of parametric insurance products
**Your personality:
- Pro-active and enthusiastic team-player
- Curiosity and excitement for new solutions
- Co-creator mindset
- You communicate clearly and easily with different stakeholders across all levels and across different cultures
SCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Leveraging experience and expertise to deliver “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk - from Life & Health and Property & Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients.
In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face.
At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR’s success.
