Flood Risk Modeler

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.  

The ideal candidate is someone with a quantitative background in hydrology, who thrives on solving complex problems, particularly in natural catastrophe and statistical modeling. Your expertise with large datasets and programming will be invaluable. As part of our team, you'll contribute to diverse projects, from crafting innovative solutions to client queries. 

Responsibilities:

• Develop, implement, and enhance country and region-wide flood models.
• Create programs and processes to refine existing data sets, including precipitation, temperature, streamflow, and digital elevation models (DEMs).
• Assist in creating simulated and near-real-time high-resolution flood events.
• Collaboratively write code to manipulate and analyze complex numeric or geographic data sets.
• Utilize the KatRisk Software Suite and interpret results for client and internal studies.
• Present data analysis findings to team members with diverse scientific and statistical backgrounds.
• Ensure quality assurance throughout projects.

Skills and Qualifications:

• M.S. or PhD degree in a quantitative or applied scientific field such as atmospheric sciences or hydrology, or a B.S. degree and 3+ years of equivalent practical experience 
• Proficiency in programming languages such as R, FORTRAN, BASH scripting, Python, C++, or CUDA.
• Strong data analysis and management skills.
• Experience with Geographic Information Systems (GIS), e.g., QGIS, GRASS, GDAL as well as processing GIS files using scripting languages R and/or Python.
• Effective written and verbal communication skills.

Preferred Qualifications:

• Knowledge of LINUX user environment and command-line operation.
• Experience with physically based, continental scale hydrologic models, including development, calibration, and analysis.
• Experience in the analysis of climate change impacts on hydrological models.
• Additional applicable work experience.

Location: Remote with a preference for candidates in Austin, TX or Boston, MA.