Senior Analyst

  • 39195
  • Non-Life - Actuarial
  • |
  • Quebec, Canada
  • |
  • Mar 1, 2021
Insurance
RESPONSIBILITIES
  • Work on projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building cutting-edge pricing and machine-learning algorithms
  • Work closely with data scientists to bring cutting-edge models to market
  • Exposure to different business stakeholders and direct influence on future products and innovative solutions
  • Work on the proposal of innovative machine-learning and statistical models for practical applications
  • Advance the department’s capabilities by creating and deploying long term tools to continually evolve the business
QUALIFICATIONS
  • 2+ years of experience in general insurance industry including predictive modeling and working with large datasets. Experience in developing non-linear statistical model is preferred
  • Strong programming and problem-solving skills to develop, test, validate, and maintain robust tools/models using supervised and or unsupervised techniques. Experience in Python programming
  • 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
  • Collaborate with business stakeholders to establish a vision and create a culture that treats data as a massive asset
  • Strong experience in common data science toolkits such as Numpy, Pandas, Scikit learn
  • Post Bachelor studies such as actuarial exams or Master Degree (enrolled or graduated) in Statistics or Computer science