Assistant Vice President

  • 38964
  • Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Jan 26, 2021
Insurance
RESPONSIBILITIES
  • Prices insurance products with up-to-date pricing assumptions, performing cash flow testing for assigned insurance products and using the required actuarial technology.
  • Monitors lapse, mortality/morbidity experience on an on-going basis and provides reporting on the profitability of new products and/or product enhancements.
  • Provides actuarial services expertise and advisory support for all insurance products
  • Manages people and leads a team capable of delivering the desired business results.
  • Recommends pricing structure for new products and/or product enhancements based on detailed actuarial analysis, balancing sales and profitability, and ensures that corporate requirements are met for profitability.
  • Acts as the prime subject matter expert for internal/external stakeholders.
  • Provides input into product design using actuarial experience and competitive & industry knowledge, including presenting counter proposals as required for new and existing products.
QUALIFICATIONS
  • Typically 10 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • FSA/FCIA designation with applied actuarial skills in insurance and reinsurance.
  • Expert knowledge in actuarial mathematics and insurance/actuarial software skills.
  • Expert knowledge of insurance products and channels, and regulatory requirements.
  • Advanced Excel skills to support the effective design and use of spreadsheets to perform actuarial pricing work.
  • Seasoned professional with a combination of education, experience and industry knowledge.
  • Verbal & written communication skills - In-depth / Expert.
  • Analytical and problem solving skills - In-depth / Expert.
  • Influence skills - In-depth / Expert.
  • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
  • Able to manage ambiguity.
  • Data driven decision making - In-depth / Expert.