Statistical Researcher

Verisk • Boston, MA

5d • $90,000 - $105,000

About The Position

The Statistical Researcher will join Verisk’s Extreme Event Solutions Research and Modeling Department and work on the Financial and Uncertainty Modeling team in Boston. The role focuses on quantifying the financial impact of extreme events by applying statistical and quantitative methods to real insurance claims data and supporting the development and validation of financial and uncertainty models for catastrophic risk.

The researcher will develop expertise in catastrophic events and modeled perils, global postal code systems, insurance and policy terms, and probability distributions. The role involves close collaboration with statisticians, mathematicians, analysts, geoscientists, and Client Services. The researcher will also communicate technical findings clearly to internal partners and client-facing teams.

Requirements

• 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.
• Excellent written and verbal communication skills, including the ability to present technical work clearly.
• Strong time-management, organizational, and problem-solving skills.

Nice To Haves

• Experience working with insurance claims data, insurance policy conditions, or actuarial concepts.
• Exposure to spatial statistics or catastrophe-related modeling.
• Familiarity with C++.
• Knowledge of or exposure to large language models (LLMs).
• Experience with R or similar statistical programming languages is preferred.

Responsibilities

• 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 explain methodologies and support responses to client questions.

Benefits

• Health Insurance
• Retirement Plan
• Disability benefits
• Paid Time Off program
• Competitive total rewards package including base salary determined based on role, experience, skill set, and location
• Work flexibility
• Support, coaching, and training

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level