Overview
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
- Python
- SQL
- Power BI
DCX Product Analytics Specialist / Senior Analytics Specialist in London employer: Marsh & McLennan Companies
At Marsh McLennan, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that fosters professional development and collaboration. Located in the heart of London, our hybrid work model allows for flexibility while ensuring meaningful engagement with talented colleagues. With a commitment to diversity and a range of career opportunities, we empower our employees to thrive and make a significant impact in the compliance monitoring field.
Contact Details:
Marsh & McLennan Companies Recruitment Team
