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Health Actuary - Claims Analytics

New York, NY 10036

Posted: 10/12/2023 Category: Actuarial Science Job Number: 283089-1_1 Salary: $100,000-$120,000 + bonus

Job Description

Title: Health Actuary - Claims Analytics
Location: New York, NY or Boston (remote option)
Compensation: $100,000-$120,000 + bonus

Actuarial Summary:
As a Health Actuary specializing in Claims Data Modeling for Care Management, you will play a crucial role in helping healthcare organizations manage costs and improve the quality of care for their patients. You will be responsible for analyzing and interpreting large sets of claims data, developing predictive models to identify high-risk patients, and designing interventions to optimize care and reduce healthcare utilization.

Actuarial Qualifications & Responsibilities
-2-5 Years of actuarial or claims data analysis experience.
-Conduct data analysis to identify patterns and trends in healthcare utilization and costs
-Develop predictive models to identify patients at high risk for adverse health outcomes
-Associate of the Society of Actuaries (ASA) or an equivalent actuarial certification
-Strong analytical and quantitative skills, with experience analyzing large data sets and developing predictive models


Smith Hanley Associates takes pride in being the premier recruiting agency serving the actuarial industry. For over 30 years, we have served both clients and candidates with specialization in analytics and actuarial science. For more information, please visit our website at www.Smithhanley.com

Meet Your Recruiter

Rory Hauser
Principal

After finishing his MBA at the John Welch College of Business, Rory joined Smith Hanley in 2015 to recruit in the actuarial and analytics space. He specializes in the placement of actuaries and statistical analytics candidates nationwide. 

Rory has over 15 years business experience in both recruiting and operations providing him the tools necessary to assist both clients and candidates. In his spare time Rory enjoys skiing, mountain biking, and fishing. 

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