Quantitative Analyst

Responsibilities

• Use advanced analytical algorithms, including machine learning and deep learning, to mine and analyze large structured and unstructured datasets.
• Design and construct new processes for data modeling and develop predictive models to drive smarter business decisions.
• Extract usable data from various sources using APIs to assess the feasibility of AI/ML solutions.
• Conduct large-scale analysis to discover patterns and trends, providing actionable recommendations to business leaders.
• Develop prediction systems and investigate new technologies to create innovative data solutions.
• Collaborate with product teams and partners to support data-driven decision-making and future roadmaps.

Requirements

• Masters level education in a related field.
• Proficiency in Python and SQL.
• Experience with machine learning, modeling, and automation.
• Experience with API data extraction.
• Knowledge of Bayesian Statistics and Financial Engineering.
• Ability to build data dashboards and perform data visualization.

Preferred Qualifications

• Foundational understanding of deep learning and ethics in AI (trust and bias).
• Proficiency in mathematics, statistics, and operations research.
• Experience with big data technologies and data wrangling/preprocessing.
• Strong analytical acumen and complex problem-solving skills.
• Excellent verbal and written communication skills.

About the Company

BMO is a leading North American bank driven by a single purpose: to Boldly Grow the Good in business and life. With more than 12 million customers, we provide personal and commercial banking, wealth management, and investment services across Canada, the United States, and globally.