FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
The Geospatial Analyst/Developer for this position will be responsible for planning, conducting and coordinating in-house and external GIS support of natural hazards research. He or she will be responsible for the evaluation, implementation and development of GIS activities.
Tasks may include programming, obtaining, processing and analyzing and formatting vector and raster datasets, geo-referencing maps and aerial photographs, digitizing, preparing input data for various natural hazard models, or post-processing model output to create maps.
Other responsibilities involve preparing reports and presentations that describe the results of studies completed or in progress, the relevance of the results for risk management; development of plans for strategic research that will lead to measurable, significant improvements in the ability to enhance methods and tools to quantify and assess natural hazards and estimate future property loss.
The position requires at least a Master’s degree and experience in Computer Science, Urban Planning, Geography, Civil Engineering, or related field with experience in GIS and a good research track record.
The successful candidate must have experience with ArcGIS software suite (ArcMap, ArcCatalog, ArcToolbox, ArcGIS server), both vector and raster data, GIS and technical programming/scripting with python and other languages, automated processing and analyzing, and geodatabase management, and demonstrated ability to deal with large datasets (Big Data techniques). Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.
Desired to have some background in probability and statistics, familiarity with Open GIS such as GDAL (including OGR), QGIS, and familiarity with 3D GIS data and extracting and processing OpenStreetMap data. Experience with GCM output data formats such as NetCDF, HDF, and Grib is highly prized.
The job title depends on qualifications and experience.