Munich Re Service GmbH - Head of Modelling & Analytics (m/f/d)*

As Head of Modelling & Analytics, you lead an interdisciplinary team of modellers, risk analysts and data scientists to translate scientific methods into scalable climate risk products. You drive the technical direction, budget and roadmap, aligning modelling capabilities with product and business goals. You collaborate across product, platform and underwriting to deliver end‑to‑end, market‑relevant solutions. You will influence strategic decisions and shape the vision for Location Risk Intelligence and related analytics.

• Lead and develop a multidisciplinary team of physical risk modellers, risk analysts, and data scientists
• Define departmental priorities, budgets and capacity to balance science quality with product goals
• Own the technical and methodological direction, turning strategy into an analytics roadmap
• Shape product concepts through Product Lifecycle Management and guide modelling solutions from exploration to delivery
• Foster cross‑functional collaboration with Product Management, Platform, Sales and Underwriting
• Establish modelling standards, QA processes, scalability and market relevance of analytics solutions
• Explain complex methods, assumptions, and uncertainties to senior and technical audiences
• Advise executives on strategy, investment, model risk and market developments

• Advanced university degree in a quantitative field; PhD or equivalent experience preferred
• Extensive experience in physical risk modelling, geospatial risk analytics or climate science
• Proven leadership of multidisciplinary technical teams
• Strategic, collaborative leadership with ability to make decisions under uncertainty
• Deep expertise in catastrophe/physical risk modelling and interactions of exposure, hazard and vulnerability
• Strong knowledge of risk modelling, data science and geospatial analytics; familiarity with Python and modern analytical workflows
• Experience translating scientific development into software-enabled products; familiarity with product lifecycle or agile development is a plus
• Excellent communication and stakeholder management; fluent English; German a plus

• Strategic thinking
• Collaborative leadership
• Clear communication
• Catastrophe/physical risk modelling
• Geospatial analytics
• Data science and risk analytics