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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