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Verisk

Statistical Researcher

Verisk

Statistical Researcher analyzing catastrophe claims data and validating financial risk models for Verisk’s global insurance analytics business in Boston.

Posted 8/24/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesJuniorMid-Level💰 $90,000 - $105,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analyzing insurance claims data and applying statistical methodologies using R or C++. Strong communication skills are essential for presenting findings and collaborating with client services.

Highest-signal resume keywords
R ProgrammingC++ ProgrammingData AnalyticsStatistical ModelingInsurance Claims Analysis

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisStatistical ApproachesProbability ConceptsQuantitative SkillsModeling MethodologiesSpatial StatisticsLarge Language Models
Soft Skills
Analytical SkillsTime ManagementOrganizational SkillsProblem-Solving SkillsCommunication Skills
Certifications & Qualifications
Graduate Degree in Quantitative Field
Industry Keywords
Insurance Claims DataActuarial ConceptsCatastrophe ModelingClient Services

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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, with the ability to present technical work clearly
  • Strong time-management, organizational, and problem-solving skills
  • Experience with R or similar statistical programming languages preferred
  • 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)

Benefits

Comp & perks
  • Health Insurance
  • Retirement Plan
  • Disability benefits
  • Paid Time Off program
  • Competitive total rewards package
  • Short Term Incentive