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Verisk’s Extreme Event Solutions team in Boston invites a Statistical Researcher to join the Financial and Uncertainty Modeling group. You will work at the intersection of statistics, data, and catastrophe risk, helping quantify the financial impact of extreme events worldwide.
This role emphasizes deep quantitative work, learning across topics like catastrophic events, modeled perils, and insurance-related data, with clear communication of results to internal partners and client-facing teams.
Join Verisk’s Extreme Event Solutions and become part of a growing Research and Modeling Department that sits at the intersection of statistics, data, and real‑world catastrophe risk. As a Statistical Researcher, you’ll work on the Financial and Uncertainty Modeling team in Boston, collaborating closely with statisticians, mathematicians, analysts, and geoscientists to help quantify the financial impact of extreme events around the world.
This role is ideal for someone with a strong quantitative foundation and a genuine desire to learn and grow. You’ll develop deep expertise across a broad set of topics, including catastrophic events and modeled perils, global postal code systems, insurance and policy terms, and probability distributions—while applying those concepts to real insurance claims data. Strong communication skills are key, as you’ll translate technical findings into clear insights for both internal partners and client‑facing teams.