AVP

  • 33252
  • Non-Life - Other
  • |
  • Ontario, Canada
  • |
  • Jan 23, 2018
Insurance
RESPONSIBILITIES
  • Work on impactful projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building cutting-edge pricing algorithms.
  • Leverage machine-learning algorithms to automate and predict claim outcomes and find new and innovative ways to impact our customers.
  • Lead a dynamic small team with exposure to different business stakeholders and direct influence on future products and innovative solutions.
  • Have the technical acumen to both propose solutions and build algorithms and at the same time provide strategic leadership and manage projects.
  • Propose machine-learning and statistical models for practical applications that impacts millions of customers.
  • Lead the team that expands the scope of these algorithms.
QUALIFICATIONS
  • An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and Phd preferred.
  • 3+ years of experience in managing highly technical teams and leading large projects.
  • 5+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience).
  • 5+ programming experience in Python or R with good grasp of software engineering best practices such as code-reusability, modularity, use of repos, etc.