Team Lead

  • 35422
  • Non-Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Jun 21, 2019
Insurance
RESPONSIBILITIES
  • Develop new predictive models and incorporate machine learning techniques to be used for pricing and underwriting.
  • Create new and improve existing analytical tools and models.
  • Contribute to proposals for new and innovative approaches for pricing, underwriting, portfolio management and product design based on statistical analyses, a solid understanding of P&C insurance products, and awareness of the company business strategy.
  • Update pricing assumptions used in rate indications, produce indicated overall rate level changes.
  • Parameterize, calibrate and run our Internal Model to project our future balance sheet given the business we have written in the past and are writing today. Interrogate the results to understand the capital requirements of our business and what is driving these requirements.
  • Perform key tasks such as operational plan updates, stress and scenario testing, sensitivity testing, and updating our model each quarter to reflect changes in our balance sheet.
  • Contribute to the development of our Internal Model with objectives of increasing usability and improving efficiency such that more focus can be given to analysis, increasing business engagement and integration with business decision making.
  • Enhance analytical capabilities across the company through learning & implementing advanced analytical techniques and automation.
  • Produce and maintain existing analytical tools and reports for key business stakeholders, as well as create new and improve existing tools.
  • Collaborate within Analytics and also with other areas of business by discussing and sharing analyses and insights.
  • Support the ongoing improvement of data integrity and quality used in management information
  • Assist in the setting and monitoring of actuarial liabilities for all legal entities in Canada by performing monthly, quarterly, and annual actuarial analyses of policy liabilities including data management, identifying anomalies or trends and addressing possible issues.
  • Assist in monthly, quarterly and annual financial reporting for unpaid claim liabilities and contribute to the development of new finance processes and reporting to maintain compliance with local and international reporting standards.
  • Increase business and technical knowledge through frequent liaison with colleagues throughout the business and the industry and use this in combination with the actuarial analysis carried out to add insight and understanding to our business.
  • Help develop our current reserving and finance processes and evolve them into an IFRS17 compliant status. Keep informed of any changes and developments in the standard so we can react accordingly.
QUALIFICATIONS
  • University or college degree in actuarial science, mathematics, statistics, or related field.
  • Excellent analytical, organizational, problem-solving, and documentation skills.
  • Skills range from technical computer use of Excel, Access, VBA, actuarial specialist software skills to proficiency with R and good knowledge of SQL, SAS and Python.
  • Experience in working with large data sets from various sources and formats.
  • Strong communication skills.
  • Out-of-the-box thinker, striving for innovate solutions to business and analytic problems.
  • Uncompromising standards on technical expertise and integrity.
  • Ability and willingness to continuously expand knowledge and skills through efforts during and outside of work, with an emphasis on new technical developments as well as leadership techniques.
  • Working towards, or already received, an ACAS designation or equivalent as well as working towards Fellowship.