Actuarial Consultant

  • 37733
  • Non-Life - Actuarial
  • |
  • Florida, United States
  • |
  • Jul 13, 2020
  • Leads work efforts of actuarial rate reviews process to include data review, procedures and process.
  • Coordinates the completion of pricing and underwriting evaluations, gathers and analyzes information, presents findings and makes recommendations to management.
  • Helps develop niche programs.
  • Summarizes and documents all specific details regarding APR decisions and communicates to appropriate personnel.
  • Develops the technical information to achieve state insurance department approvals of rate filings.
  • Responds to insurance department filing inquires.
  • Leads and coordinates with other Commercial Lines Product personnel to ensure consistency of state strategies and effectiveness of the strategies for both agents and policyholders.
  • Bachelor’s degree, preferably in Actuarial Science, Mathematics, Statistics, Business or Economics.
  • Candidate should have attained Associate membership into the Casualty Actuarial Society, though very strong near-Associates will be considered.
  • 8-10 years actuarial experience, with at least 5 of the years spent at a Property & Casualty insurance company.
  • Strong business acumen, analytical and decision-making skills.
  • Strong presentation skills, written and verbal communication skills required.
  • Must possess qualities to lead team technically and also support/ facilitate the team and be action -oriented when business and other issues arise.
  • Deals effectively with detail, but keeps big picture perspective.
  • Ability to plan, organize and prioritize multiple tasks simultaneously; creates unique solutions to complex problems, and effectively communicates technical concepts to non-technicians, is desired.
  • Must interface well outside of the Pricing group - with Product, Finance, IT, State Filings, Claims.
  • Advanced computer skills, including proficient working knowledge of Microsoft Excel, Word and Access.
  • Data access skills via SQL / SAS and interest /experience in applying predictive or financial models is preferred.