Marsh
DCX Product Analytics Specialist / Senior Analytics Specialist
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DCX Product Analytics Specialist / Senior Analytics Specialist
About the Role
We are seeking a talented individual to join our Analytics Solutions team, part of Digital Client Experience at Marsh Risk. This role will be based in Zurich or London.
We will count on you to:
- Partner with brokers, client executives, product teams, and analytics colleagues to identify risk and renewal pain points and translate them into clear analytical problems and success criteria.
- Prepare, clean, and enrich data from multiple sources including exposure, policies, claims, pricing, engineering, and third-party hazard or vendor model data.
- Build, assess, and validate analytical models and loss modeling approaches to support Property Risk Quantification, including catastrophe and non-catastrophe use cases, with potential application across other lines of business.
- Apply pricing, actuarial, and risk-based techniques to generate actionable insights for loss modeling, portfolio assessment, and business decision-making.
- Prototype dashboards, reports, and analytical outputs that translate technical model results into clear, decision-ready guidance for business stakeholders.
- Collaborate closely with product, engineering, and data teams to operationalize analytical workflows, improve data foundations, and support scalable analytics solutions.
- Document models, assumptions, methodologies, and data lineage in line with governance requirements and support transparent interpretation of model outputs.
- Operate effectively in a fast-changing, incubation-style environment where priorities, use cases, and project scope may evolve, helping bring structure and momentum to emerging analytics problems.
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Requirements
- Typically 5–8 years of relevant experience in analytics, actuarial work, catastrophe modeling, pricing, or insurance risk analysis.
- Bachelor’s degree in a quantitative discipline such as Actuarial Science, Mathematics, Statistics, Engineering, Economics, Data Science, or equivalent practical experience.
- Solid understanding of statistical modeling, loss modeling, and model validation, ideally in insurance, pricing, or actuarial contexts.
- Experience with catastrophe modeling, Property risk analytics, or related risk quantification approaches, including interpretation and use of model outputs.
- Experience working with insurance-related data and tools, with familiarity with platforms such as RMS, AIR/Verisk, or similar analytics and modeling environments considered a plus.
- Proficiency in Python and/or SQL for analytics, modeling, and data preparation, with experience in reproducible analytical workflows.
- Familiarity with BI and visualization tools such as Power BI, Tableau, or similar tools to create prototype dashboards and business-ready analytical outputs.
What Makes You Stand Out
- Master’s degree in a quantitative field or progress toward an actuarial qualification.
- Experience working in insurance, reinsurance, broking, or risk advisory, particularly in Property cat and non-cat analytics.
- Demonstrated ability to translate technical results into actionable business insights and communicate effectively with diverse stakeholders.
- Comfort working in ambiguous, fast-changing, and not fully structured environments, with the ability to create clarity and move work forward.
- Product mindset with the ability to shape approaches, refine problem statements, and adapt as priorities evolve in an incubation-style setting.
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About Marsh
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
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