Actuarial Pricing Analyst

  • 37120
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Mar 26, 2020
  • Conducts preliminary analyses on data involving basic statistical approaches and provides solutions to treat various data deficiencies to support data integrity.
  • Leads and conducts industry, demographic, and other consumer research to understand new data sources and applications of analytics.
  • Focuses on innovation and process improvement to promote leading practice and efficiency across the organization.
  • Builds predictive models and end-to-end automated solutions for insurance related problems.
  • Presents sophisticated statistical and machine learning models to various stakeholders and provide training and coaching.
  • University degree in a quantitative field, preferably master.
  • Good understanding of modeling and machine learning techniques.
  • Excellent communication and organizational skills.
  • 3+ years of SQL, Scala, R/Python programming experience.
  • Knowledge of big data tools and ecosystem.
  • Knowledge of Git and Bitbucket an asset.