Vice President

  • 39370
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Mar 26, 2021
Insurance
RESPONSIBILITIES
  • Lead the charge in building the best price modelling capabilities that uses not just sophisticated modelling techniques but a high level of automation to create efficiencies
  • Partner with other teams to ensure we continue maintaining an edge over competitors and continue innovating our modelling and actuarial practices
  • Collaborate and take joint accountability with commercial and personal lines pricing teams, reserving and other relevant actuarial functions to bring to market cutting-edge models at pace and minimize risk
  • Partner with other units to deliver a scalable next generation price models to market
  • Identify, prioritize, and build strategic use cases that will use internal and external data sources and accelerate the overall business strategy and opportunities.
  • Determine how to use data science, machine learning, and other analytical techniques to offer technology solutions that deliver measurable insights across our lines of business.
  • Drive the development and deployment of the enterprise's data and analytics platforms with a solid base in engineering best practices, pipeline development and automation.
  • Maximize our quantum and global partnerships to accelerate the company’s growth and innovation in data across the globe.
  • Develop and keep controls on data quality, data use and data management to effectively lead corporate risk associated with the use of data.
  • Implement a people strategy that attracts, retains, develops and motivates the team by encouraging an inclusive work environment, communicating vision and values and leading succession and development planning.
  • Define and implement the organizational structures and operating models needed to support the objectives of the data science program
QUALIFICATIONS
  • Bachelor’s and/or graduate degree in Computer Science, Actuarial Science or related fields
  • 15+ years of strong, diverse experience in the price modelings and data science including AI/ML based modelling. P&C insurance experience is an asset when combined with strong modelling experience.
  • Experience in a sophisticated, cross-functional organization where your teams need to collaborate with interdisciplinary teams and delight customers
  • Proven data, modeling and technology experience - the ability to describe use cases and outcomes, data sources and management concepts across business and technology domains