Statistical Researcher

Jobtailor; Boston (MA); On-site; USD 85,000 - 115,000; Full time

Job summary

Jobtailor in Boston seeks a data analytics professional to analyze insurance claims data from catastrophic events, develop and validate modeling approaches in R or C++, and apply probabilistic methods to inform risk assessments. You will work with the analytic team to ensure rigorous data-driven conclusions.

Responsibilities include documenting methodologies, producing concise visualizations, and presenting findings to clients and internal stakeholders, with strong emphasis on clear

Qualifications

• Graduate degree in a quantitative field such as statistics, mathematics, data science, or 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)

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 help explain methodologies and support responses to client questions

Skills

Data analytics

Statistical programming

R

C++

Probability concepts

Communication

Time management

Problem solving

Spatial statistics

LLMs exposure

Education

Graduate degree in statistics / mathematics / data science

Tools

R

C++

Job description

• 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

• 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)

Core Competencies

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.