Apply statistical modelling and machine learning as a Senior Data Scientist in Montreal, working within a hybrid workplace and flexible schedule.
At National Bank, you will specialize in credit risk decision-making strategies within the modelling and risk strategies team. Develop models, analyze behavioural data, and support growth objectives for personal and commercial credit products. Collaborate with risk management teams, business lines, service providers, and partners.
Key Responsibilities: Develop statistical models and credit risk decision-making strategies
Analyze behavioural data and recommend business growth actions
Assess model performance using Champion-Challenger approaches
Document strategies for review and approval




Coordinate implementation and conduct acceptance tests
Requirements: Bachelor's or master's degree in a quantitative field
Two to three years of relevant modelling experience
Experience developing statistical, econometric, or machine learning models
Knowledge of personal and commercial credit products
Proficiency in Python, R, SQL, or SAS
Bring statistical modelling, behavioural analysis, and credit risk expertise to National Bank's advanced analytics team in Montreal.

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📌 Senior Credit Risk Data Scientist (Quebec City)
🏢 National Bank of Canada
📍 Quebec City