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

Robust 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.

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