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 algorithmsDevelop predictive models and machine learning algorithmsCombine algorithms to identify large-scale patterns and trendsCreate processes that model data and improve analysisProvide recommendations supporting business leaders and stakeholdersRequirements:
Currently pursuing or recently completed a relevant Master's degree or PhDProficiency in Python or quantitative programming languagesExperience developing APIs and automating data workflowsKnowledge of quantitative modeling, machine learning, and process automationTypically one to three years of relevant experienceBring 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