AVP, Pricing

  • 38216
  • Non-Life - Actuarial
  • |
  • Ohio, United States
  • |
  • Sep 22, 2020
  • Partner with Product team to achieve overall business goals.
  • Oversees pricing and the state rate review process for all states to insure pricing team priorities to achieve overall product line objectives.
  • Develops and implements new segmentation and rate making methodologies.
  • Serves on a number of regional and cross functional teams and provides pricing related consultation.
  • Assess internal trends and industry best practices / competitor actions and identify opportunities for model, segmentation or other pricing enhancements.
  • Partner with Strategic Pricing, Product, Actuarial and Analytics leaders to develop and implement new solutions.
  • Responsible for the development of the auto pricing and loss ratio plans.
  • Responsible for establishing rate forecasts for planning which includes coordination of initiatives and effective dates.
  • Hire, develop and manage team over 30+ associates. Allocates resources to ensure completion of highest priority work. Talent and succession planning.
  • Support other special projects or ad hoc initiatives.
  • Undergraduate studies in actuarial science, business, finance, mathematics, economics, or related field with strong quantitative orientation. Bachelor’s degree preferred.
  • Insurance or business related professional designations such as FCAS, ACAS, CPCU desired.
  • Typically ten years related experience. Prior management experience.
  • Ability to identify needs of the organization and develop a multi-year strategic plan.
  • Strong demonstrated ability to collaborate across teams and influence to achieve goals.
  • Ability to attract, hire and develop strong talent.
  • Strong verbal and written communication skills, including the ability to build and defend a business case, provide executive level recommendations and reporting.
  • Demonstrated ability to comprehend/explain actuarial concepts and other advanced technical concepts.
  • Ability to assimilate information and make recommendations based on a combination of factors
  • Foundational knowledge of technology and actuarial data and tools; advanced modeling experience preferred.