KCC seeks a highly qualified Flood Engineer to join the Model Development Team to work on developing advanced catastrophe reference models. In this position, you will work closely with other scientists and engineers to develop numerical representations of inland flooding and coastal flooding impacts and conduct analyses of historical flood events.

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.

Responsibilities

  • Collaborate with scientists and engineers to develop the technical aspects of flood hazard and impacts models
  • Research regional natural and manmade hydrological aspects that can lead to and impact flooding events
  • Compile related literature and datasets required for model development
  • Conduct model sensitivity and validation tests
  • Provide documentation for technical publications
  • Conduct post disaster field surveys after major events

Qualifications

  • PhD with background in hydrology and/or hydraulics, with research relevant to flood inundation possibilities and probabilities
  • Experience with model setup, calibration, and validation
  • In-depth knowledge of and skills in probability and statistical methods
  • Experience with GIS tools, such as ArcGIS and QGIS
  • Extensive knowledge of the physics of flooding events and the mechanics of building vulnerability to flood
  • Experience with numerical modeling and computer programming such as Python, FORTRAN, R, C#, and/or others
  • Excellent presentation and communication skills
  • Experience with remote sensing data is a plus
  • Experience programming using Arcpy and geospatial tools is a plus