Property Data SpecialistKCC seeks a Property Data Specialist to join our growing team of risk modeling experts. KCC develops models to estimate the risk from all types of natural perils including tropical cyclones, wildfires, severe convective storms, and earthquakes. KCC scientists and engineers create stochastic sets of potential future scenarios that are overlayed on geospatially distributed building and replacement cost data.
These geospatial databases are developed by the exposure development team for countries around the world.Karen Clark & Company (KCC) is the innovation and technology leader in catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide.
These services enhance business strategies, and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries.Expected Salary Range: $85,000-$95,000ResponsibilitiesDevelop detailed databases of residential, commercial, and industrial properties by investigating, analyzing, and synthesizing multiple internal and external datasetsStay current with global population and construction trendsDevelop innovative and efficient computational methods to process large spatial datasets across multiple data types and structuresPrepare reports and presentations that describe results of completed and ongoing developmentsSupport model development and client facing teams with geospatial calculations and visualizationsQualificationsMaster's degree in Geography, Economics, Statistics, or related field and 2-3 years work experienceCompetent and proven analytical skills and programming experience in R/Python and SQLExcellent oral and written communication skills, keen orientation to detail, an eye for professional presentation, and recognized organizational abilitiesExperience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a plusProven experience using ArcPy or PyQGIS, GDAL, RasterIO, and C# and.NET, a plus