Catastrophe Modeling Analyst

  • 33396
  • Non-Life - CAT Modeling
  • |
  • Minnesota, United States
  • |
  • Feb 28, 2018
Insurance Broker
  • Listen and understand client portfolio risk management needs, prepare analytics appropriate for developing solutions, engage with client management and staff to advice on strategies for appropriate risk management.
  • Provide high quality, robust analyses of the client portfolios.
  • Verify quality and integrity of the input data; prepare data to import to AIR, RMS, software or any other software products utilized by the Analytics team. Understand and explain related data quality issues and secondary characteristics effects on modeled results.
  • On each project provide complete, clear documentation on project scope, assumptions, and data edits, and analyses completed and results provided to brokers and clients.
  • Understand the differences in and run analyses in all catastrophe modeling software products licensed by the company, including RMS and AIR products.
  • Follow designated workflows, procedures and utilizes designated templates and automated tools.
  • Produce accurate, clear, professional and detailed results in the file formats, reports, exhibits, presentations or maps as needed to present final results to brokers, clients/prospects and reinsurance markets following the templates and formats.
  • Maximize business impact internally and externally through effective communication with brokers, clients, prospects and information systems.
  • Conduct post event analysis, "optimization" and other specialty analyses as needed.
  • Complete catastrophe modeling related sections of rating agency reporting forms for clients and prospects as needed.
  • Bachelor’s degree in mathematics, statistics, finance, economics, geography or other related areas.
  • Minimum of 3 years of experience as a catastrophe modeler.
  • Must be able to work independently, under tight timeframes and manage multiple projects.
  • Must be detailed oriented with proven ability to work in team environment.
  • Proven excellence in communicating conclusions to analytics staff, managers and senior executives, both internally and externally.
  • A good understanding of complex insurance and reinsurance structures.
  • Strong analytical and critical thinking skills.
  • Basic understanding of accounting principles and financial reporting.
  • Demonstrate advanced knowledge of business software such as MS Excel, Access and SQL.
  • Knowledge of using VBA and ODBC connections.
  • Experience with mapping software (ideally ESRI products).
  • Occasional travel and overtime as needed.