Verisk Employee Privacy Notice Required 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) #LI-BH1 In 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. Verisk Businesses Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.