KatRisk
About KatRisk
KatRisk is a leading provider of catastrophe risk modeling solutions, dedicated to helping businesses and organizations understand, manage, and mitigate the risks associated with natural disasters. Our innovative technology and expertise enable clients to make informed decisions, optimize their risk management strategies, and safeguard their assets and operations against potential catastrophes. As a rapidly growing and profitable company with strong product‑market alignment, we are seeking dynamic individuals to join our team.
Role Overview We are seeking a highly analytical and technically skilled
Catastrophe Risk Modeler
to join our team. The ideal candidate will have a strong background in statistical and predictive modeling and thrive on solving complex problems, particularly related to modeling insurance exposure to natural catastrophe risk. In this role you will work with large datasets to expand and improve our predictive models and analytical toolsets. This will be a remote position.
Responsibilities
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 communication skills.
Excellent collaboration skills in a remote work environment.
Preferred
Strong understanding of catastrophe modeling concepts (hazard, exposure, vulnerability, loss).
Peer‑reviewed publications that highlight critical thinking and statistical modeling skills.
Understanding of the insurance industry and knowledge of terminology.
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Design, Art/Creative, and Information Technology
Software Development
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Role Overview We are seeking a highly analytical and technically skilled
Catastrophe Risk Modeler
to join our team. The ideal candidate will have a strong background in statistical and predictive modeling and thrive on solving complex problems, particularly related to modeling insurance exposure to natural catastrophe risk. In this role you will work with large datasets to expand and improve our predictive models and analytical toolsets. This will be a remote position.
Responsibilities
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 communication skills.
Excellent collaboration skills in a remote work environment.
Preferred
Strong understanding of catastrophe modeling concepts (hazard, exposure, vulnerability, loss).
Peer‑reviewed publications that highlight critical thinking and statistical modeling skills.
Understanding of the insurance industry and knowledge of terminology.
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Design, Art/Creative, and Information Technology
Software Development
#J-18808-Ljbffr