Catastrophe Risk Researcher & Modeler

Verisk Analytics, Inc.; Boston (MA); In loco; USD 100.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Retirement plan

Paid time off

Descrizione del lavoro

Verisk’s Extreme Event Solutions in Boston seeks a Statistical Researcher to join the Financial and Uncertainty Modeling team. You’ll quantify financial impacts of extreme events using statistics, data analysis, and modeling on insurance claims data.

The role emphasizes growth, cross-disciplinary collaboration with statisticians, mathematicians, and geoscientists, and translating findings into clear client-ready insights.

Competenze

• Graduate degree in a quantitative field such as statistics, mathematics, data science, or related discipline.
• 2–5 years of professional experience in 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.

Mansioni

• 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

Conoscenze

Statistical analysis

Data analysis

Programming (R)

Communication

Formazione

Graduate degree in statistics/mathematics/data science

Strumenti

R

C++

Descrizione del lavoro

Verisk’s Extreme Event Solutions in Boston seeks a Statistical Researcher to join the Financial and Uncertainty Modeling team. You’ll quantify financial impacts of extreme events using statistics, data analysis, and modeling on insurance claims data.

The role emphasizes growth, cross-disciplinary collaboration with statisticians, mathematicians, and geoscientists, and translating findings into clear client-ready insights.