Catastrophe Modeling Analyst

  • 35098
  • Non-Life - CAT Modeling
  • |
  • England
  • |
  • Apr 30, 2019
Insurance
RESPONSIBILITIES
  • Gather data from various sources and prepare it for import, apply data to catastrophe modeling software, analyze and validate results in a timely manner.
  • Assist in providing and communicating catastrophe loss and exposure estimates to internal customers in a timely manner.
  • Support and sustain profitable organizational growth by providing effective catastrophe analysis that identifies profitable areas to target and highlights unprofitable areas as well as monitoring key catastrophe statistics and advising management of possible issues.
  • Evaluate new business opportunities and provide input to management.
  • Obtain extensive knowledge of catastrophe exposed products.
  • Proactively share knowledge in catastrophe-related areas, creating learning experiences and fostering collaboration within the department.
  • Support the exposure management processes for the Syndicate reporting of treaty business.
QUALIFICATIONS
  • Undergraduate degree, preferably in mathematics, statistics, or related quantitative field.
  • A minimum of two years’ relevant professional experience in an analytical role with knowledge of basic insurance concepts.
  • Intermediate knowledge and experience in problem-solving in MS Excel is desired.
  • Previous CAT Modeling experience, specifically for the US market, is preferred.
  • Experience with programming languages/database management, is preferred, skills and experience in a scripting languages like R, Matlab or Python a plus.
  • Familiarity with Lloyd’s exposure reporting process, specifically on RDS reporting, is an asset.
  • Demonstrated ability to successfully work on and complete complex projects.
  • Highly developed conceptual, analytical and innovative problem-solving skills.
  • Good verbal and written communication skills.
  • Ability to build and maintain strong working relationships with other departments is of primary importance.
  • Must be open and enthusiastic regarding learning new software and exploring new ways to analyze catastrophe risk.