Actuarial Predictive Modeler/Data Scientist

  • 33215
  • Non-Life - Actuarial
  • |
  • New Jersey, United States
  • |
  • Jan 11, 2018
Reinsurance
RESPONSIBILITIES
  • Transform data and generate predictive variables from both internal and external data sources.
  • Apply statistical and machine learning techniques to solve business problems.
  • Develop predictive models, mainly focused in pricing and underwriting; also work with models in other functional areas such as claims, marketing, operational efficiency and customer experience.
  • Work with IT to implement predictive models, design specs and provide support in testing.
  • Document and keep track of technical details of model development and implementation.
  • Monitor performance of implemented models and provide analytical support.
  • Evaluate predictive models and other technology/modeling/data solutions from 3rd party vendors.
QUALIFICATIONS
  • Must have BS or MS degree within a quantitative discipline.
  • 3+ years of hands-on experience in predictive analytics in the property-casualty insurance industry.
  • Strong track record in large data manipulation in insurance environment. Proficiency with SQL is a must.
  • Excellent programming skills in one or more of the following is also a plus: R, Python and VBA.
  • Strong ability to effectively interpret data and modeling results and draw actionable insights.
  • Ideally anywhere from 3 actuarial exams passed to recent FCAS’s.
  • Excellent interpersonal and communication skills.
  • Organized, self-motivated, results-orientated, and resourceful.