Catastrophe Risk Modeler

October 21

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KatRisk LLC

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Artificial Intelligence • Finance • Insurance

KatRisk LLC is a leading provider of advanced catastrophe risk modeling solutions, specializing in flood, wind, seismic, and other weather-related risks. They empower insurers, governments, and financial institutions with high-resolution, peril-specific models that inform risk management strategies globally. Their suite of proprietary products, such as SpatialKat and SoloKat, integrates cutting-edge data analytics and API technology to support real-time data integration and enhance analytic capabilities. KatRisk's models offer unparalleled precision, enabling clients to make informed, data-driven decisions to better manage disaster-related risks.

11 - 50 employees

Founded 2012

🤖 Artificial Intelligence

💸 Finance

💰 Private Equity Round on 2023-11

📋 Description

• Develop, calibrate, and maintain catastrophe models for perils such as wildfire, flood, wind, earthquake, and other natural hazards. • Collect, analyze, and process large data sets from clients as well as national and international sources. • Design and implement data pipelines to process large geospatial and temporal datasets from multiple sources. Build complex statistical models using geospatial statistical methods, machine learning, and other modeling techniques. • Collaboratively write code to manipulate and analyze large and complex numeric and geospatial data sets. • Rigorously evaluate the built models for their performance and validate them with respect to historical data. • Write clear documentation of implemented methodologies, justifying critical steps and assumptions. • Present model results and data analysis findings to team members and clients with diverse scientific and statistical backgrounds. • Utilize the KatRisk Software Suite and interpret results for clients and internal studies. • Contribute to ongoing research and development in hazard science, vulnerability modeling, and climate-related risk assessment.

🎯 Requirements

• Master’s with or Ph.D. in a STEM field. • 2+ years of experience in catastrophe modeling, actuarial science, or quantitative risk analytics. • Ability to work under minimal supervision. • Strong proficiency in R or Python, • Knowledge of LINUX user environment and command-line operation • Experience with Geographic Information Systems (GIS), e.g., QGIS, GRASS, GDAL. Ability to programmatically manipulate geospatial data is highly desirable. • Experience in collecting, manipulating, and processing large data sets. • Detail-oriented with strong analytical and problem-solving abilities. • Excellent verbal and written communications skills. • Excellent collaboration skills in a remote work environment. • Strong understanding of catastrophe modeling concepts (hazard, exposure, vulnerability, loss). • Peer-reviewed publications that highlight critical thinking and statistical modeling skills. • Understanding of insurance industry and knowledge of terminology.