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 will have a strong background in statistical and predictive modeling, who thrives 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. As part of our team, you'll contribute to diverse projects, from crafting innovative solutions to resolving client queries. 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
Required
- 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.
- Ability to work under minimal supervision.
- Understanding of insurance industry and knowledge of terminology.
Top Skills
What We Do
KatRisk is a global leader in climate catastrophe risk modeling, providing advanced solutions to insurers, governments, and financial institutions. With models covering over 190 countries, KatRisk offers high-resolution risk assessments for inland flooding, storm surge, tropical cyclone wind, severe convective storm, and wildfire. Utilizing state-of-the-art probabilistic modeling, our models stand out for their speed, technical excellence, and transparency.
As a pioneer in integrating climate change scenarios, KatRisk helps clients enhance resilience and financial sustainability in an increasingly volatile environment and our proprietary financial model enables smarter underwriting, investment, and mitigation strategies. With a focus on transparency, innovation, and customer-centricity, we are committed to shaping a resilient future for generations to come.
