Consulting Actuary

  • 33118
  • Non-Life - Actuarial
  • |
  • New York, United States
  • |
  • Nov 23, 2017
  • Build predictive models for a variety of applications, reviewing clients’ predictive models (with the goal of identifying methodology improvements) as well as performing reserve reviews.
  • ACAS or FCAS.
  • 7+ years’ experience including significant predictive modeling experience preferably in a commercial insurance/reinsurance company setting, with thorough knowledge of conventional methodologies (such as generalized linear models) as well as more advanced predictive modeling techniques (such as regularized regression, GAMs, GLMMs, tree-based methods, Bayesian methods, etc.).
  • Experience in reserving is a plus.
  • Strong technical skills, with knowledge of programming. Individual must have the ability to manage data, and automate complex data manipulation tasks, in SAS, R, SQL or other programming languages.
  • Detail oriented and self-motivated with good organization skills.
  • High energy level.
  • Excellent written/oral communication skills.
  • Ability to train and supervise junior staff.