Property Data Specialist

Karen Clark & Company

$85K — $95K *
Real Estate & Construction
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Economics, Statistics, or related field with 2-3 years of relevant experience.
  • Proficient in R/Python and SQL for data analysis and programming.
  • Strong analytical skills with a focus on detail and organized presentation.
  • Exceptional oral and written communication abilities.
  • Demonstrated autonomy with effective problem-solving capabilities.
  • Familiarity with census, real estate, and building data is advantageous.

Responsibilities

  • Develop comprehensive databases for various types of properties by analyzing and synthesizing diverse datasets.
  • Research trends in population, employment, construction, and inflation globally.
  • Create innovative methods for processing large datasets of different types.
  • Clean and refine outdated or complicated datasets.
  • Formulate sound assumptions in scenarios with limited data.
  • Prepare detailed reports and presentations to communicate ongoing developments.

Benefits

  • Collaborative work environment with a team of risk modeling experts.
  • Opportunity to work on global data projects related to natural perils.
  • The chance to contribute to significant modeling efforts impacting risk assessment.
  • Access to professional development resources and training.
Full Job Description
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.

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  • Wrangle and adjust messy or out-of-date datasets.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.

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