Treaty Reinsurance Pricing Actuary

  • 35141
  • Non-Life - Actuarial
  • |
  • Connecticut, United States
  • |
  • May 7, 2019
  • Analyze the profitability of treaty reinsurance opportunities covering a broad range of lines of business including, but not limited to, property, general casualty, professional lines, A&H, and surety.
  • Develop pricing indications using sound actuarial principles and methodologies.
  • Enhance traditional pricing methodologies by identifying and implementing analyses of large, external data sets.
  • Periodically participate in underwriting audits at clients’ offices.
  • Update pricing model parameters including trends, size of loss distributions, and development factors using insurance industry and external data sets.
  • Provide price monitoring information for reporting purposes and subsequent loss reserve analyses.
  • Maintain familiarity with insurance industry developments impacting pricing analyses.
  • Perform other related duties as required to achieve the goals and objectives of the company and department.
  • Bachelor’s degree in mathematics or similar field.
  • At least 7 years of actuarial experience.
  • ACAS or FCAS designation.
  • Highly organized, proactive, motivated, self-starter with impeccable attention to detail.
  • Superb communication skills, both written and oral.
  • Convey clear, precise, effective communication with underwriters, senior management, and external clients.
  • Ability to identify issues and resolve them in a professional and timely fashion.
  • Ability to work well under pressure with demonstrated sense of urgency and ability to exercise judgment, and discretion.
  • Ability to use discretion when dealing with confidential company related matters.
  • Strong mathematical and analytical skills.
  • In-depth knowledge of issues for multiple lines of business including reinsurance pricing issues, coverage issues, and external factors that would affect profitability.
  • Ability to comprehend complex reinsurance submissions and creatively reach sound conclusions using all information available.
  • High level of proficiency in Microsoft Excel.
  • Proficiency in VBA, R, Python, Access, SQL or similar a plus.
  • Experience with model development including data visualization tools.