Actuary

  • 37047
  • Non-Life - Actuarial
  • |
  • Pennsylvania, United States
  • |
  • Mar 14, 2020
Reinsurance
RESPONSIBILITIES
  • Prepare and complete pricing analyses for specialty insurance, including the development of rates, ultimate loss projections and communication of results.
  • Participate in development and update of Actuarial models and databases through formula development, research on methodologies, and collaboration on technical teams.
  • Support for result monitoring, pricing and portfolio management projects that will assist underwriters and management in managing and steering business. Document and communicate assumptions, results, and alternatives to actuarial staff and internal and external clients.
  • Strong understanding and ability to discuss and apply the use of existing & new actuarial concepts/techniques involving exposure adjustments, trend, loss development, exposure rating, with some assistance/guidance.
  • Identification of data issues requiring specialized actuarial attention.
  • Complete peer reviews as needed.
  • Provide actuarial insight and expertise as a participant on a Line of Business Expert Group.
  • Direct the modification and enhancement of existing applications to address special issues.
  • Pursue formal education via Casualty Actuarial Society exams.
  • Participate in training of others regarding actuarial analyses and methodologies.
QUALIFICATIONS
  • Bachelor’s Degree in mathematics, Actuarial Science, Economics, Finance, Statistics or related field requiring modeling, programming, or quantitative analysis.
  • Membership in the Casualty Actuarial Society and membership in the American Academy of Actuaries.
  • Five or more years of experience in insurance pricing.
  • Strong technical actuarial skills and strong knowledge and understanding of rating models.
  • Strong interpersonal skills. Ability to influence and negotiate with others and create acceptance for proposals.
  • Proficient computers skills in MS Office Suite used for ratemaking, pricing, modeling stochastic distributions or data analysis.
  • Experience in use of R, SAS or other statistical software in insurance pricing applications.
  • Excellent oral and written communication skills.