Catastrophe Risk Quantitative Researcher

Archer; Boston (MA); In loco; USD 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Verisk’s Extreme Event Solutions is seeking a Statistical Researcher in Boston to join the Financial and Uncertainty Modeling team. You will work with statisticians, mathematicians, analysts, and geoscientists to quantify the financial impact of extreme events worldwide.

The role emphasizes strong quantitative skills, learning and growth, and translating complex findings into clear insights for internal partners and client-facing teams.

Competenze

• Graduate degree in a quantitative field such as statistics, mathematics, data science, or a 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 with R or other statistical languages.

Mansioni

• Analyze insurance claims data from catastrophic events.
• Test and validate new modeling methodologies by coding in R or C++ and running simulations.
• Assess the accuracy of statistical approaches using data-driven analysis.
• Document methodologies, assumptions, and results clearly.
• Create concise summaries, visualizations, and client-ready presentations.
• Collaborate with Client Services to explain methodologies and respond to questions.

Conoscenze

Analytical skills

Quantitative skills

Probability concepts

R programming

Communication skills

Time management

Problem solving

Formazione

Graduate degree in statistics, mathematics, data science, or related discipline

Strumenti

R

C++

Descrizione del lavoro

Verisk’s Extreme Event Solutions is seeking a Statistical Researcher in Boston to join the Financial and Uncertainty Modeling team. You will work with statisticians, mathematicians, analysts, and geoscientists to quantify the financial impact of extreme events worldwide.

The role emphasizes strong quantitative skills, learning and growth, and translating complex findings into clear insights for internal partners and client-facing teams.