Our client is a global leader in climate catastrophe risk modeling, providing advanced solutions to insurers, governments, and financial institutions. With models covering over 190 countries, they offer high-resolution risk assessments for inland flooding, storm surges, tropical cyclone wind, severe convective storms, and wildfires. 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, this product 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.

Responsibilities:

• Analyze geospatial data to support catastrophe risk assessments.
• Utilize GIS tools such as QGIS, ArcGIS, or other spatial analysis software.
• Work with raster and vector data, performing extraction, transformation, and manipulation.
• Develop and apply geospatial models to enhance risk predictions and assessments.
• Collaborate with data scientists and engineers to integrate spatial analytics into broader catastrophe modeling frameworks.
• Ensure data quality and consistency across multiple geospatial datasets.

Requirements:

• 5+ years of experience in GIS data science, spatial analysis, or geospatial modeling.
• Strong proficiency in GIS software (e.g., QGIS, ArcGIS, GDAL).
• Expertise in Python and/or R for geospatial analysis, including experience with libraries such as GeoPandas, Rasterio, Shapely, and Fiona.
• Knowledge of spatial data formats (e.g., GeoJSON, shapefiles, NetCDF) and best practices for handling large geospatial datasets.
• Experience with spatial databases (e.g., PostGIS) and distributed computing for geospatial analysis.
• Excellent communication skills and ability to work in a collaborative, fast-paced environment.

What We Offer:

• Flexible work arrangements.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Help and support from our caring HR team.