Demo

Software Development Engineer

Karen Clark & Company
Boston, MA Full Time
POSTED ON 11/10/2024 CLOSED ON 1/10/2025

What are the responsibilities and job description for the Software Development Engineer position at Karen Clark & Company?

KCC is seeking smart, dynamic, and motivated candidates for our RiskInsight® application team. RiskInsight is a distributed application for developing catastrophe risk models and managing catastrophe risk. Working with our model development teams, you will build software tools for creating and visualizing tropical cyclone, earthquake, flood and other catastrophe models.

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

  • Take ownership of maintaining and improving application functionality and performance
  • Develop/tune database queries to optimize application performance
  • Collaborate with other team members to ensure application enhancements are both backward compatible and extensible
  • Work on extending front-end, middle-layer, and back-end components of a Windows application using Microsoft technologies

Qualifications

  • MS/BS degree in computer science or equivalent
  • Experience working with large and complex databases (MS SQL Server)
  • Excellent problem solving, analytical, and people skills
  • Must be flexible, a good listener, and have excellent written and verbal communication skills
  • Quantitative background (math/science/engineering) a plus
  • Insurance industry experience and/or exposure to natural hazard science a plus

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