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Actuarial Analyst to prepare and analyze data for use in actuarial experience studies, valuation, or pricing projects at Aetna Resources LLC, a CVS Health company.
Job Responsibility:
Prepare and analyze data for use in actuarial experience studies, valuation, or pricing projects
Provide technical support and maintenance of pricing and underwriting tools
Answer technical questions to assist others understand underwriting case specific issues
Analyze and research actuarial projects partnering with project and management teams
Assist with maintaining valuation system
Evaluate, review, and estimate unpaid claims
Develop statistical models for risk management, asset optimization, and pricing
Research and develop reporting tools to track and monitor product performance against financial targets and objectives
Work on special projects that require actuarial research and analysis
Develop reserve factors
Develop experience analysis reviews
Contribute to product development and re-pricing initiatives
Prepare routine reports and communicate research results to manager
Continually assess established training and work processes to identify areas for effectiveness and efficiency improvements
Communicate trends and issues identified and proactively recommend resolutions to management
Prepare financial reports, tax returns, and state filings
Requirements:
Master's degree (or foreign equivalent) in Actuarial Science, Mathematics Data Science, Statistics, or a related field
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Actuarial models
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Java, Python, JavaScript or Bootstrap
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in SQL, SAS, or R
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Machine learning, statistical analysis, and predictive modeling
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Software testing, quality assurance, and troubleshooting
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Data analytics on large data sets in healthcare, business, or retail sector
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Cloud components including cluster management
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Quantitative analysis techniques, including clustering, regression, and pattern recognition
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy
Completion of a university-level course, research project, internship, thesis, or six (6) months of experience in Supporting large data, analytics, and technology modernization initiatives
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