Are you passionate about turning complex natural catastrophe data into powerful insights that shape global risk decisions Do you thrive at the intersection of data science, analytical modelling and cutting-edge technology If so, this is your opportunity to make a real impact at one of the world's leading reinsurance companies.

About the Role

As a Cat Model Analyst, you will be a key contributor to Swiss Re's proprietary Natural Catastrophe modelling platform - a platform that underpins underwriting and risk decisions on a global scale. You'll work at the heart of a multidisciplinary team, collaborating with model developers, underwriters, geospatial specialists and software engineers to build innovative tools, deploy cutting-edge risk models and deliver insights that matter.

This is a role for someone who loves solving complex analytical problems, building scalable solutions and turning bold ideas into tangible business impact.

Key Responsibilities

Conceptualise and build NatCat applications using sophisticated analytical technologies, driving platform improvements from concept to production
Partner directly with model developers, underwriters and product owners to design and deliver innovative, business-ready solutions
Support model validation and deployment, assisting model developers in validating prototypes and deploying them into the global productive Nat Cat platform
Build and maintain exposure reporting tools in combination with internal models and external risk model providers
Collaborate and coordinate across teams to ensure successful model and tool releases throughout the year
Drive release testing and documentation, supporting proper business documentation for various NatCat tool suite releases
Provide ad-hoc support to the user community on model and tool-related issues and queries
Install, maintain and contribute to the Oasis open-source platform, including the development of new functionality over time
Coordinate platform setup and maintenance with third-party vendors
Contribute to innovation, product development, data science and data mining/extraction initiatives that expand Swiss Re's competitive edge

About the Team

You will be embedded in the Cat & Geo Modelling team, a dynamic and globally distributed group based across Zurich and Bangalore, bringing together specialists in natural science, engineering, statistics and software development. Few organisations offer the opportunity to influence both catastrophe model development and real underwriting decisions at global scale - and this team is one of them.

The Catastrophe Perils department is responsible for Swiss Re's global natural catastrophe risk assessment. The department advances innovative probabilistic and proprietary modelling technology for earthquakes, windstorms and flood hazards, with a clear business directive to grow Swiss Re's competitive edge in close collaboration with underwriters and clients. We are also an active and leading partner in the Oasis open-source modelling community.

As part of this team, you will work closely with various Cat Perils partners in designing and maintaining NatCat tools, and you will have the opportunity to participate in end-to-end modelling and costing/pricing for key client portfolios alongside underwriters. Depending on your interests and skills, there is real scope to grow and broaden your role over time.

About You

We are looking for a curious, hands-on and committed professional who brings both technical depth and a collaborative spirit. You are someone who takes ownership, enjoys working in a globally distributed environment and is eager to continuously expand your knowledge of insurance and reinsurance concepts. You communicate well, adapt readily and bring energy and initiative to everything you do.

We Are Looking for Candidates Who Meet These Requirements:

Catastrophe modelling expertise: At least 5 years of working experience within the Cat Modelling domain, with hands-on experience using platforms such as Oasis, RMS, Verisk/AIR or CoreLogic
Python & SQL proficiency: Strong programming skills in Python and SQL, with the ability to build robust analytical and data-driven solutions
Analytical and problem-solving capability: Demonstrated ability to tackle complex, multi-dimensional analytical challenges and translate them into scalable, production-ready solutions
Exposure reporting and BI development: Proven experience in prototyping or developing Business Intelligence, reporting and data analysis solutions (ideally in PowerBI or Palantir Foundry)
Academic foundation: A Graduate or Post-Graduate degree in mathematics, engineering, computer science or an equivalent quantitative discipline

These Are Additional Nice to Haves:

Experience with Oasis open-source modelling platform and contributing to its development
Familiarity with Azure Databricks for scalable data processing and analytics
Experience with Power BI and/or Palantir Foundry for reporting and data visualisation
Knowledge of MATLAB or R for quantitative analysis
Experience working in an agile development environment (e.g. Scrum)
Eagerness to learn and grow within the insurance and reinsurance domain
Strong interpersonal skills and the ability to collaborate effectively across globally distributed teams

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

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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Reference Code:138744

Cat Tools & Infrastructure Associate