Apply quantitative analysis and machine learning at BMO in Toronto, using Python and complex datasets to develop data-driven insights.
This Quantitative Analyst role suits candidates pursuing or recently completing advanced quantitative study. You will apply statistical modeling, computational methods, APIs, Bayesian statistics, and financial modeling concepts. The position supports analytics solutions for business decisions, customer experience, productivity, and market competitiveness.
Key Responsibilities: Mine structured and unstructured data using advanced analytical algorithms
Design data modeling processes and predictive systems
Develop machine learning algorithms and artificial intelligence solutions




Discover patterns and trends through large-scale analysis
Provide recommendations and advice to business leaders
Requirements: Master’s degree or PhD in a quantitative discipline
One to three years of relevant experience
Proficiency in Python or quantitative programming languages
Experience developing APIs and automating data workflows
Solid analytical, problem-solving, and communication skills
Use Python, statistical modeling, and machine learning to advance BMO’s quantitative analytics and data-driven decision-making capabilities.

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📌 Quantitative Analyst Machine Learning (Ontario)
🏢 Bank of Montreal
📍 Ontario