Job Description

  • Communicate and advise on the use of analytics in a variety of contexts, including risk rating operations modeling and ERM.
  • Support Sales in discussions with prospects and renewals.
  • Perform sophisticated predictive analytics modeling to tackle complex business problems for insurance clients.
  • Validation and interpretation of predictive analytics results.
  • Analysis of customer data for statistical validity.
  • Conduct meetings and presentations for clients as needed.
  • Provide client feedback to product management & development.

QUALIFICATIONS

  • ACAS or FCAS preferred but will consider near ACAS with appropriate work experience. CSPA a plus.
  • 5-10 years of proven experience in an actuarial role in the property and casualty insurance and/or consulting industry.
  • Experience using statistical modeling tools such as SAS, Emblem, DataRobot or others. Python and R are not required but are a plus. ...

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