Actuarial Analyst

  • 35922
  • Non-Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Sep 25, 2019
  • You will develop industry-leading go-to-market capabilities with new customer-centric offerings based on world-class pricing and data science. The team is also accountable for developing and maintaining best-in-class rate adequacy analyses and driving business insights from proactive monitoring.
  • You will embed best practice pricing methodologies leveraging techniques used in other jurisdictions within the Canadian Environment.
  • You will also continually improve the generation of Analysis in terms of length of time to create the reports and the accuracy.
  • You will work closely with Corporate Actuarial, Claims, Finance Analytics, Underwriting and Government Relations to develop a deep understanding of company’s personal insurance business and reflect key data and emerging trends into our pricing models.
  • You will also work with the analytics group to develop robust and automated monitoring framework.
  • You will compile, analyze and communicate the health of the portfolio to support regional pricing and business development teams in understanding their mix of business, retention, growth, and overall quality of the book and advising on adjustments as needed.
  • You will also support the Personal Insurance Leadership team in providing actuarial input into the company’s annual business plan.
  • You will monitor and assess the impact of business decision including rate or underwriting changes to ensure the impact is in line with expectations.
  • You will also monitor the market position of company’s pricing relative to key competitor’s impact on the personal insurance portfolio and identify emerging trends which will impact the current book either adversely or positively.
  • Bachelor degree in Actuarial Science, Math or Statistics.
  • Minimum of 2 CAS exams and 2 years of P&C work experience.
  • Strong mathematical and statistical background.
  • Strong problem solving and analytical skills.
  • Proficiency in programming and experience in SAS, R, Python and VBA a plus.
  • Ability to communicate well and present ideas/decisions clearly.
  • Adaptability, great teammate and client service skills.