Lead advanced statistical modelling in Toronto, using Python and quantitative methods to shape retail, customer, and loyalty decisions.
As Manager, Statistical Modelling & Advanced Analytics, you will guide complex modelling work across the enterprise. You will apply forecasting, causal inference, experimentation, and predictive modelling to key business problems. The position combines technical leadership, stakeholder influence, and team development.
Key Responsibilities: Design advanced statistical and quantitative models using business data
Apply forecasting, experimentation, segmentation, and optimization methods
Partner with leaders to improve decisions and customer outcomes
Establish model validation, monitoring,



and measurement standards
Coach analysts and data scientists while guiding technical quality
Requirements: Graduate degree in a quantitative field
Significant statistical modelling or advanced analytics experience
Strong Python coding experience
Experience using SQL, Spark, or similar tools
Experience leading projects and influencing senior stakeholders
Bring statistical modelling, Python, and analytical leadership to decisions spanning retail, customer, and loyalty priorities.

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📌 Statistical Modelling Analytics Manager (Ontario)
🏢 Canadian Tire Financial Services
📍 Ontario