In this role you will partner with cross-functional teams to translate risk and renewal pain points into analytical problems, build and validate loss models for Property risk quantification, and deliver actionable insights for business decisions. You will prototype dashboards and collaborate on scalable analytics, data foundations, and governance. This position sits within the Analytics Solutions team in Marsh Risk, with flexibility to work from Zurich or London. You will shape analytics approaches in an incubation-style environment to drive real impact.
Pay / Benefits
hybrid work arrangement
remote work flexibility
anchor day in-office
collaboration and development opportunities
Responsibilities
Partner with brokers, client executives, product teams, and analytics colleagues to define analytical problems and success criteria
Prepare, clean, and enrich multi-source data (exposure, policies, claims, pricing, engineering, vendor data)
Build, assess, and validate analytical and loss modeling approaches for Property risk quantification (catastrophe and non-catastrophe)
Apply pricing, actuarial, and risk-based techniques to derive insights for loss modeling and portfolio decision-making
Prototype dashboards, reports, and outputs to translate model results for business stakeholders
Collaborate with product, engineering, and data teams to operationalize analytics workflows and strengthen data foundations
Document models, methods, and data lineage to meet governance and enable transparent interpretation
Navigate a fast-changing, incubation-style environment to bring structure and momentum to analytics problems
Key requirements
5–8 years of relevant analytics, actuarial, catastrophe modeling, pricing, or insurance risk analysis experience
Bachelor’s degree in a quantitative field
Solid statistical and loss modeling knowledge with risk/insurance context
Experience with catastrophe modeling and property risk analytics
Familiarity with insurance data and tools (RMS, AIR/Verisk or similar)
Proficiency in Python and/or SQL for analytics and data prep
Experience with BI/visualization tools (Power BI, Tableau)
Ability to translate technical results into actionable business insights
Effective communication with diverse stakeholders
Comfort working in ambiguous, fast-changing environments
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