Actuarial Analyst

National Association of Insurance Commissioners (NAIC)•Kansas City, MO
•$93,263 - $96,600•Hybrid

About The Position

The Financial Regulatory Services division of the National Association of Insurance Commissioners (NAIC) is hiring an Actuarial Analyst to analyze confidential group annuity and life insurance mortality data. The analyst will apply actuarial expertise and data science tools to validate submissions, identify trends, benchmarks, and outliers, and communicate findings through reports and presentations. This is a full-time position that may be performed remotely within the United States or in a hybrid arrangement from the NAIC office in Kansas City, Missouri. Compensation is $93,263–$96,600, commensurate with education and experience. Applicants must be authorized to work for any U.S. employer; visa sponsorship is not available.

Requirements

  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a similar degree from an accredited college or university.
  • Prior actuarial experience gained through one or more actuarial internships.
  • Passed at least one Society of Actuaries exam.
  • Applicants must be authorized to work for any employer in the United States.

Nice To Haves

  • Basic knowledge of life insurance, actuarial concepts, and regulatory requirements for life insurance.
  • Experience in two or more of the following areas: pension risk transfer annuities, accelerated underwriting, mortality experience studies, life or annuity valuation, life or annuity pricing, predictive analytics, and data visualizations.
  • Knowledge of VM-50 and VM-51 requirements for life insurance.

Responsibilities

  • Collect, process, and maintain confidential group annuity and life insurance mortality experience data filings.
  • Develop expertise in applicable Valuation Manual requirements, including VM-50 and VM-51.
  • Support data structure, validation, and governance efforts, including data dictionaries, submission review rules, confidentiality, and procedure documentation.
  • Use analytical tools, data visualization, trend analysis, and data science methods to evaluate company submissions and aggregated data.
  • Identify and communicate statistical results, benchmarks, outliers, and key findings through reports, presentations, and email communications.
  • Support confidential company SharePoint sites.
  • Complete ad-hoc projects in a timely manner.
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