KatRisk is seeking a Geospatial Data Analyst to support client usage and development of their catastrophe risk models, which help businesses understand, manage, and mitigate risks associated with natural disasters.
Requirements
- Quantitative skills with proficiency in R (preferred) or python for data processing and analysis.
- Experience working with large data sets including data manipulation, merging and remapping.
- Experience with geospatial data and tools (e.g., GDAL, R spatial packages, ArcGIS, QGIS).
- Familiar with Linux operating systems.
Responsibilities
- Work with geospatial datasets for use in catastrophe risk modeling workflows.
- Assist Clients by answering support questions related to geospatial data formats, content, and usage.
- Perform quality control checks on incoming and processed data to ensure accuracy and completeness.
- Maintain clear documentation for geospatial datasets, transformation processes, and metadata.
- Convert customer-provided datasets into KatRisk’s internal formats, ensuring data integrity and compatibility.
- Support model validation efforts by preparing data inputs and comparing/packaging outputs.
- Research and acquire new geospatial datasets to improve model coverage and resolution.
Other
- MSc, MEng, or equivalent in hydrology, environmental science, geosciences, engineering, data science, or a related quantitative field.
- Detail-oriented with strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills—even in remote or hybrid team settings.
- Understanding of catastrophe modeling concepts (hazard, exposure, vulnerability, loss).
- Understanding of insurance risk metrics (AAL, PML, return periods) and probabilistic modeling concepts.
- Client facing support experience, particularly involving technical data questions or geospatial products.
