Senior Modeling Analyst

  • 34798
  • Non-Life - Actuarial
  • |
  • Ohio, United States
  • |
  • Mar 4, 2019
  • Perform analysis of retention datasets, billing studies, and household modeling.
  • Assist in the development of personal lines products.
  • Develop and maintain pricing, territorial, retention, and other models.
  • Work with actuaries, product management, underwriters, and programmers to implement developed models.
  • Provide filing support for implemented models.
  • Independently conduct ad-hoc studies addressing a wide variety of modeling, actuarial and other business concerns.
  • Explore new modeling techniques and methodologies.
  • Master's degree in Statistics or related field. Alternatively, will accept a bachelor's degree + 3 years of experience in lieu of Master's + 2.
  • 2 years of property and casualty insurance industry experience, in an analytic role such as predictive modeling or pricing, developing models that capture high dimensional interactions, and that enhance base underlying models/products.
  • 2 years of combined experience modeling in R using Generalized Linear Models, Elastic Net, or Mixed Effects Models.
  • 1-year combined experience modeling in Python using Generalized Linear Models, Elastic Net, Random Forest, Gradient Boost Machines, Neural Networks, or Mixed Effects Models.
  • 2 years of industry experience performing data processing in an SQL/ETL environment.
  • 1-year experience working on pricing, product management, predictive modeling, or underwriting, of auto insurance.