Actuary - Data Analytics

  • 34775
  • Life - Actuarial
  • |
  • Nebraska, United States
  • |
  • Mar 1, 2019
Insurance
RESPONSIBILITIES
  • Manages the creation of experience studies across various product lines, completed in a timely manner with robust documentation and a focus on reproducibility.
  • Develops experience study and assumption setting standards, providing guidance on standard practices, credibility, and modeling methods.
  • Collaborates with actuarial and business partners throughout the enterprise to develop a clear and well-defined purpose for our analytics that drives business outcomes or reveals business opportunities.
  • Builds relationships with actuarial and business partners for the purposes of consultation, drive adoption of novel analytical methods and techniques, and to develop data assets to support a variety of analytical initiatives.
  • Craft and communicate the story of the underlying data and analytics to a variety of constituencies.
  • Develops improvements to actuarial models, methods, procedures, and systems and keeps abreast of legislative and other changes to determine their effect on assumptions and formulas.
  • May have direct reports and engage in human resource management functions such as coaching, performing appraisals, and handling other HR administrative tasks. May review the work of actuarial students in the execution of specific projects or tasks.
  • May have an opportunity to participate in recruiting college candidates for professional Actuarial positions and serve on Company committees in an actuarial adviser capacity.
QUALIFICATIONS
  • Proficient in at least one general purpose coding language as well as substantial experience in some variation of SQL.
  • Strong problem-solving skills, a high level of intellectual curiosity, and an ability to work effectively with ambiguous requirements.
  • Potential to self-direct and work independently at times, as well as collaborate with a small team of talented individuals.
  • Thorough actuarial background, as well as thorough background in Actuarial Science, Math, Statistics, Economics and/or Computer Science.
  • Seasoned knowledge of advanced actuarial assumptions and formulae and in-depth knowledge and understanding of actuarial and statistical sciences, economics, or computer sciences.
  • Aptitude for statistical interpretation, a strong knowledge of advanced actuarial assumptions and formulae and accounting practices.
  • Attainment of ASA designation.
  • Excellent human relations and oral and written communication skills, analytical and decision-making abilities, and sound judgment.
  • Product and industry knowledge.
  • Preferred Qualifications:
  • Masters/PhD in an analytically driven field, such as Actuarial Science, Economics, Statistics, Data Science, Computer Science and/or Mathematics.
  • Leadership, communication, and presentation skills coupled with a strong work ethic and proven record of accountability and ownership over work projects.
  • Business acumen and judgement to identify impactful trends, industry developments, and emerging issues requiring attention and elevation.