• 38623
  • Non-Life - Actuarial
  • |
  • Georgia, United States
  • |
  • Nov 18, 2020
  • Oversees all pricing initiatives at the company. Key stakeholder from rate indication to recommendation to implementation.
  • Drives profitable growth among existing partners and the acquisition of new clients through appropriate pricing and thoughtful product design.
  • Partners closely with account nanagement teams to provide meaningful analytics and recommendations to strengthen our relationships with our clients.
  • Provides thought leadership in pricing methodology and actuarial analytics both externally and internally to meet the evolving needs of the warranty space.
  • Partners closely with the IT team to develop strong rate infrastructures as well as automate processes that directly contribute to overall scalability.
  • Leads pricing discussions with VP and C-level executives and act as a trusted advisor to senior management.
  • Partners with fronting carriers to secure approval on all pricing recommendations.
  • Develops a world class actuarial pricing team. Provides direction, mentorship, development, and leadership for the pricing team as well as the larger risk management team.
  • Required:
  • ACAS
  • 7 years of actuarial pricing experience in the P&C space.
  • Excellent and effective communication and presentation skills. Extensive experience in working directly with clients and/or presenting to a larger audience of key stakeholders.
  • Proven ability to work collaboratively across functional teams and organizational levels to deliver results.
  • Significant experience with Microsoft Excel and SQL (or similar language), and ability to use both tools (and others as needed) to analyze and interpret data.
  • Experience with data aggregation/visualization software (Tableau, Power BI, Looker).
  • Initiative and drive necessary to succeed in an entrepreneurial environment.
  • Experience managing a team of high performing actuaries.
  • Preferred:
  • FCAS
  • 10 years of actuarial pricing experience, with a portion in auto warranty and/or surplus lines.
  • Past modeling experience in working with advanced statistical techniques such as GLMs, boosting, random forests, etc.
  • Experience with modeling software (R, EMB, SAS Enterprise)