Predictive Modeler / Actuary

  • 35495
  • Non-Life - Data Science
  • |
  • Ohio, United States
  • |
  • Jul 16, 2019
Insurance
RESPONSIBILITIES
  • Develop and maintain multivariate pricing, underwriting, and other models pertaining to commercial risks.
  • Conduct ad-hoc studies addressing a wide variety of modeling, actuarial, and other business concerns.
  • Assist with actuarial pricing functions.
  • Explore new modeling techniques and methodologies.
  • Conduct research and development leading to potentially useful predictive models in the future.
  • Interact with several departments within the company, including Commercial Lines, Personal Lines, Claims, and IT.
QUALIFICATIONS
  • Should possess an advanced degree in Statistics, Mathematics, Economics, Actuarial Science, or other related fields.
  • Individuals with Ph.D. or ACAS/FCAS designations are preferred.
  • Some experience with multivariate predictive models and four or more years of commercial P&C actuarial/modeling experience are required.
  • Should be proficient in the use of SAS for data handling and model development.
  • Experience with other statistical tools and with large data sets is beneficial, though not required.
  • Should have excellent communication, interpersonal and organizational skills.