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 (Toronto)
🏢 BMO
📍 Toronto