Property Data Specialist

Karenclarkandco; Boston (MA); On-site; USD 85,000 - 95,000; Full time

Job summary

Karenclarkandco in Boston, Massachusetts is seeking a Property Data Specialist to join their risk modeling team. The successful candidate will develop detailed databases and support model development using geospatial calculations and visualizations.

A Master's degree in Geography, Economics, or Statistics, along with 2-3 years of relevant experience, is required. Familiarity with GIS software and programming in R/Python will be highly advantageous.

Qualifications

• Master's degree in a relevant field and 2-3 years of work experience.
• Experience with GIS software handling both vector and raster data.
• Competent programming experience in R/Python and SQL.

Responsibilities

• Develop databases of residential, commercial, and industrial properties.
• Stay current with global population and construction trends.
• Prepare reports and presentations to describe results.

Skills

GIS software (ArcGIS, QGIS)

Analytical skills

Programming (R/Python, SQL)

Attention to detail

Education

Master's degree in Geography, Economics, Statistics

Tools

ArcPy

GDAL

RasterIO

Job description

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.

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
• Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a plus
• 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
• Proven experience using ArcPy or PyQGIS, GDAL, RasterIO, C# and .NET, a plus