• 37187
  • Life - Actuarial
  • |
  • Kansas, United States
  • |
  • Apr 13, 2020
  • Provide support to local team on biometric risk assessment related subjects and take part in strategic projects.
  • Analyze emerging mortality and other experience required to meet organizational needs.
  • Analyze product, underwriting, or other company information for any influences on mortality from a historical or prospective perspective.
  • 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 judgments used in the assumption development.
  • Promote knowledge both internally and externally, through communication and events showcasing.
  • Company’s knowledge capabilities. This includes writing articles, presenting to clients and at industry meetings, and providing training on how to use tools as well as presenting Best Estimate assumption construction approaches.
  • Actively participate in animating the Biometric Risk Modelling community across markets ensuring biometric risk modelling knowledge connectivity throughout the organization.
  • Improve company’s methods, tools, and knowledge on biometric risks, which includes utilizing traditional actuarial approaches as well as integrating more statistical and machine learning methods.
  • Further develop risk knowledge by actively participating and collaborating in SOA, AAA, or other industry committees.
  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Finance or related area.
  • Fellowship in the Society of Actuaries with current CPD compliance preferred; Career ASAs considered.
  • You are dynamic and appreciate working in a team.
  • You have good interpersonal and negotiating skills.
  • At least 5 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 is required.
  • Regular attendance and ability to work extended hours as necessary to meet deadlines.