Property Data Specialist

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 an exposure dataset of building replacement values. The Property Data Specialist will support the exposure development team in modeling replacement values 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  (

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
• Research global population, employment, construction, and inflation trends
• Develop innovative and efficient computational methods to process large datasets across multiple data types and structures
• Wrangle and adjust messy or out-of-date datasets
• Make informed, defendable assumptions where data is limited
• Prepare reports and presentations that describe results of completed and ongoing developments

Qualifications

• Master's degree in 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
• High autonomy and strong problem-solving skills
• Experience with census, real estate, and/or building data, a plus