Assistant Vice President

  • 36296
  • Non-Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Nov 25, 2019
  • Define a detailed vision of the future P&C rating algorithm. Be able define the objectives of the business based on Pricing priorities and the input of the stakeholders. Prioritize the various elements of the future state and create a roadmap for execution.
  • Ensure the transformation plan aligns to the business strategies. Objectives include profitable growth, shifting the mix of business, embedding risk-selection criteria into pricing and enabling frontline underwriters with state-of-the-art pricing tools.
  • Manage the collaboration with the data science resources. Be able to translate business objectives into the technical requirements for the data scientists. Ensure alignment between resources in pricing and data science to achieve timely execution of the strategy. Define business constraints for predictive modeling.
  • Identify key milestones for projects and accurately forecast time required to reach those milestones. Review actual progress versus plan, re-forecast and update the stakeholders. Engage stakeholders in order to make timely decisions throughout the development process.
  • Build a highly-engaged actuarial team. Coach the team and support their growth and independence. Foster a culture of high-performance, collaboration and honest conversations. Ensure recruitment of best talent and proactively manage performance of the individuals on the team.
  • Track benefits of the implemented changes that demonstrate the success of the implemented changes. Articulate the value of the changes in pricing to the stakeholders.
  • Strong focus on risk mitigation and building a risk-aware culture. Ensure adherence to the technical pricing standard and actuarial best practices. Be an advocate for risk management to the direct reports. Be responsible for strong documentation of processes, decisions and methodologies.
  • Industrialize pricing models in order for them to be repeatable in an efficient and accurate manner. Build controls around modeling process that mitigate possibility of human error.
  • Minimum 10 years' experience in the insurance industry.
  • Minimum 3 years’ management experience in commercial insurance pricing.
  • Fellow of the Casualty Actuarial Society.
  • Strong technical skills in pricing and predictive analytics.
  • Exceptional attention to detail.
  • Ability to build a case for change and obtain buy-in from stakeholders.
  • Ability to influence and negotiate scope, timelines and trade-offs.
  • Natural people leadership capabilities, engagement with the direct team and peers overall.
  • Ability to attract talent and motivate staff.
  • Strong communication skills with all levels, including the ability to articulate choice of methodology and the implications of different decisions to non-technical stakeholders.
  • Ability to think laterally. Able to blend expert-based insights with data-based insights.
  • Evaluate appropriateness of the different methods and models in each situation.
  • Awareness of strengths and limitations of different methodologies.
  • Good knowledge of insurance operations including claims and underwriting.