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 (Toronto)
🏢 Bank of Montreal
📍 Toronto