Senior Portfolio Actuary

  • 36799
  • Non-Life - Actuarial
  • |
  • New York, United States
  • |
  • Feb 12, 2020
Reinsurance
RESPONSIBILITIES
  • Leveraging and expanding your expertise in both internal and external data sources and how to access the data needed. Learn and apply techniques to claims, policy and other datasets to analyze a wide array of underwriting topics.
  • Portfolio analytics including the creation of tools and reports for the management team that allow more effective portfolio steering through data insights. For example, benchmarks studies, profitability studies and single risk accumulation monitoring.
  • Clearly articulate data insights to team members both verbally and/or through exhibits.
  • Create and prepare exhibits and reports summarizing findings for client delivery and/or external communication.
  • Ability to work on a wide range of accounts including complex deal structures and large structured transactions
  • Participating in broker and client visits, audits, and renewal meetings.
  • Effectively communicating the pricing analysis to the cross-functional deal teams including senior management.
  • Building underwriting skills and acumen and potentially making underwriting decisions on a limited basis.
  • Taking a leadership role in testing of pricing tools and updating parameters for costing tools such as loss trend assumptions.
  • Participating in various cross functional teams and projects, and providing best actuarial practices.
  • External representation within key industry groups.
QUALIFICATIONS
  • Strong analytical/quantitative experience with computer programming experience.
  • Associate or Fellow of the Casualty Actuarial Society desired.
  • 5+ years of reinsurance casualty treaty pricing and analytics experience in the relevant lines of business preferred.
  • Undergraduate Degree required, advanced degrees preferred in Actuarial Science, Math, Statistics, Economics, Engineering and/or Computer Science, other academic focused areas would be considered.
  • Proficiency in Python and/or R, including the relevant statistical and machine learning packages, desirable.
  • Ability to incorporate forward looking views of the market in underwriting decisions.
  • Outstanding communication skills are essential; ability to present complex ideas/analysis to a range of internal stakeholders with varying backgrounds and externally with clients and brokers.
  • Ability and desire to work effectively in a team-oriented environment with other actuaries, underwriters and account executives in a cooperative and open manner, flexibility when working with remote locations.
  • Natural desire and curiosity to continually learn and self-develop.