Apply Python and quantitative modeling skills as a Quantitative Analyst Co-op Intern with BMO at 100 King Street West. Build data-driven insights. This co-op internship suits candidates pursuing or recently completing graduate study in a quantitative discipline. You will apply statistical modeling, computational methods, machine learning, and Bayesian statistics. The work supports predictive models, automated processes, visualizations, and business decisions. Key Responsibilities:





Mine structured and unstructured data using advanced analytical algorithms Develop predictive models and machine learning algorithms Combine algorithms to identify large-scale patterns and trends Create processes that model data and improve analysis Provide recommendations supporting business leaders and stakeholders Requirements:

Currently pursuing or recently completed a relevant Master's degree or PhD Proficiency in Python or quantitative programming languages Experience developing APIs and automating data workflows Knowledge of quantitative modeling, machine learning, and process automation Typically one to three years of relevant experience Bring quantitative analysis, programming, and machine learning expertise to BMO’s data analytics and reporting work.

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📌 Quantitative Analyst Co-op Intern (Winnipeg)
🏢 Bank of Montreal
📍 Winnipeg