Statistician

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. #J-18808-Ljbffr