AVP, Actuary

  • 36399
  • Life - Actuarial
  • |
  • Kansas, United States
  • |
  • Dec 9, 2019
  • Support the production of experience studies, as needed.
  • Manage a small team.
  • Analyze emerging mortality, persistency, and other experience required to meet organizational needs.
  • Analyze product, underwriting, or other company information for any influences on mortality and lapses from a historical or prospective perspective.
  • Work across the organization to understand drivers of the experience and enhance analytical capabilities, including enhancing the use of machine learning, data science, and statistical analysis.
  • Monitor, support and improvement of the tools and process used for studies.
  • Support the development of best estimate assumptions by providing analysis, insights, and recommendations around the assumptions, their development process, and documenting justification for the updates and any judgment used in the assumption development.
  • Support sales team activities by providing analysis of client experience for presentation during sales calls.
  • Communicate results of studies to internal stakeholders as well as potentially to clients and prospective clients.
  • Advance the Company’s recognition among the actuarial community by providing leading edge analysis of industry studies or company’s Mortality Insight study and providing written and verbal presentations to clients and the industry about key findings.
  • Provide input on other projects and issues as needed, including interactions with Group and senior management.
  • At least 10 years of actuarial experience involving individual life insurance. Preferred areas of experience are mortality and lapse studies, or pricing.
  • Strong written and oral communication skills.
  • The ability to work independently as well as in a group setting with readiness to travel on occasion.
  • High level of computer literacy.
  • Strong skills in MS Office.
  • Experience working with database software, such as SQL or MS Access.
  • Experience in working with large datasets.
  • Experience with R and/or Python, as well as Tableau, is desired but not required.
  • Regular attendance and ability to work extended hours as necessary to meet deadlines.
  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Analytics, Finance, Economics, or related area.
  • Fellowship in the Society of Actuaries with current CPD compliance preferred; Career ASAs considered.