Senior Actuarial Analyst

  • 37933
  • Non-Life - Actuarial
  • |
  • Quebec, Canada
  • |
  • Aug 7, 2020
  • You will work on impactful projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building pricing and machine-learning algorithms.
  • You will work closely with data scientists to bring cutting-edge models to market.
  • You will work on the proposal of innovative machine-learning models for practical applications that impact millions of customers.
  • 2+ years of experience in general insurance industry including predictive modeling and working with large datasets.
  • Experience in developing non-linear models within a machine learning framework is preferred.
  • Have cross-functional skills that allow you to straddle the worlds of data scientist and actuaries and bring innovation to model acceptance processes, sound model monitoring practices and end-to-end automation.
  • Strong programming and problem solving skills to develop, test, validate, and maintain robust tools/models using supervised and or unsupervised techniques.
  • Python experience preferred.
  • Work with pricing teams to combine creative modeling knowledge with sound business judgment in developing sophisticated models to support rate implementation.
  • Collaborate with business stakeholders to establish a vision and create a culture that treats data as a massive asset.
  • Advance the department’s capabilities by creating and deploying long term tools to continually evolve the business
  • Amazing people skills and able to translate and communicate complex algorithms to non-technical experts.
  • A can-do team player who is willing to roll-up the sleeves and do whatever is needed to move projects forward.
  • Customer focused who builds effective relationships with internal partners, including claims, actuarial, underwriting, operations, and information technology.
  • Results-oriented who demonstrates a sense of urgency and accountability for business issues.
  • Expert subject matter expertise in insurance, rate regulation and predictive modeling.