• 36051
  • Life - Actuarial
  • |
  • North Carolina, United States
  • |
  • Oct 17, 2019
  • 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.
  • Dissemination of best practices amongst clients, via trainings, sharing tools seminars and publications. This includes providing training on how to use tools, presentation of Best Estimate assumption construction approaches, etc.
  • Promote knowledge both internally and externally, through communication and events showcasing company’s knowledge capabilities. This includes writing articles and presenting to clients and at industry meetings.
  • Actively participate in building and 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.
  • Develop risk knowledge by establishing and managing partnerships with university researchers, with the aim of anticipating evolutions in biometric risks and improving our assessment techniques.
  • Further develop risk knowledge by actively participating and collaborating in SOA, AAA, or other industry committees.
  • Dynamic and appreciate working in a team.
  • Good interpersonal and negotiating skills.
  • At least 7 years of experience in life and health insurance.
  • Recognized experience in biometric risk.
  • Contacts in the university world or throughout the industry.
  • Evolved within the framework of a structure by making the most of considerable expertise on biometric risks.
  • At least 7 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.
  • Master’s degree in Actuarial Science, Mathematics, Statistics, Finance or related area.
  • Fellowship in the Society of Actuaries with current CPD compliance preferred; Career ASAs considered.