Property Data Specialist

KCC 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.

About KCC

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. For more information, please visit www.kcc.us.com.

Expected Salary Range: $85,000-$95,000

Responsibilities

Develop detailed databases of residential, commercial, and industrial properties by investigating, analyzing, and synthesizing multiple internal and external datasets
Stay current with global population and construction trends
Develop innovative and efficient computational methods to process large spatial datasets across multiple data types and structures
Prepare reports and presentations that describe results of completed and ongoing developments
Support model development and client facing teams with geospatial calculations and visualizations

Qualifications

Master's degree in Geography, Economics, Statistics, or related field and 2-3 years work experience
Competent and proven analytical skills and programming experience in R/Python and SQL
Excellent oral and written communication skills, keen orientation to detail, an eye for professional presentation, and recognized organizational abilities
Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a plus
Proven experience using ArcPy or PyQGIS, GDAL, RasterIO, and C# and .NET, a plus

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