Job DescriptionJoin 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.
ResponsibilitiesIn this role, you'll apply your analytical and technical skills to support the development and validation of financial and uncertainty models tied to catastrophic risk. Key responsibilities include:
- Analyze insurance claims data from catastrophic events such as hurricanes, earthquakes, floods, and severe thunderstorms
- Test and validate new modeling methodologies by writing code (primarily in R or C++) and running simulations
- Assess the accuracy and behavior of statistical approaches using data-driven analysis
- Document methodologies, assumptions, and results clearly and thoroughly
- Create concise summaries, visualizations, and presentations to communicate findings
- Partner with Client Services to help explain methodologies and support responses to client questions
QualificationsRequired qualifications:- Graduate degree in a quantitative field such as statistics, mathematics, data science, or a related discipline
- 2-5 years of professional experience working on data analytics or quantitative projects
- Strong analytical and quantitative skills with a solid understanding of probability concepts
- Basic programming proficiency; experience with R or similar statistical programming languages preferred
- Excellent written and verbal communication skills, with the ability to present technical work clearly
- Strong time-management, organizational, and problem-solving skills
Nice to have:- Experience working with insurance claims data, insurance policy conditions, or actuarial concepts
- Exposure to spatial statistics or catastrophe-related modeling
- Familiarity with C++
- Knowledge or exposure to large language models (LLMs)
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