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Job opportunity

BMO Capital Markets Quantitative Trading Analyst - 12 - 16 Month Co-op

Bank N.A.

Toronto, Ontario
Application Deadline

11/19/2026
Address

100 King Street West
Job Family Group

Capital Mrkts Sales & Service
BMO Capital Markets
BMO Capital Markets is a leading, full-service North American-based financial services provider offering equity and debt underwriting, corporate lending and project financing, merger and acquisitions advisory services, securitization, treasury management, market risk management, debt and equity research and institutional sales and trading. BMO Capital Markets has over 2,700 professionals in 30+ locations around the world, including 20 offices in North America.
BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.1 trillion total assets and approximately 53,000 employees as of April 30, 2026.
Global Markets Overview

Global Markets serves institutional, corporate and government clients across a broad range of products and businesses, including Sales & Trading, Structured Solutions, Prime Finance, Research, Origination and Quantitative Modeling.
What's in it for you?

This 12-16 month internship opportunity is designed for students who are passionate about applying their engineering, programming, mathematics, and analytical skills to real-world financial markets. You will be fully embedded within a Global Markets trading desk, gaining exposure to areas such as Global Equities, ETFs, and other trading businesses. From analyzing large datasets and conducting quantitative research to developing technology solutions and supporting trading strategies, you will contribute to projects with direct business impact from day one. This role offers an exceptional platform to develop technical expertise, deepen your understanding of financial markets, and gain hands‑on experience solving complex challenges at one of North America’s leading investment banks.
Throughout the placement, you will have opportunities to:

Apply your quantitative, analytical and technical skills to real-world financial market challenges
Work alongside and learn from Trading, Quantitative, Sales and other Global Market professionals
Participate in professional development, networking and learning opportunities across BMO Capital Markets
Build your technical, analytical, communication and stakeholder management skills
Gain hands‑on experience within front-office Global Markets environment
Responsibilities

You will be fully integrated into the Global Markets team. Responsibilities will vary based on business needs, market conditions and your skill set, and may include:
Contribute to initiatives related to program trading, electronic trading, index strategy, ETF and systematic trading, analytics and workflow optimization.
Design, test, and deploy AI-enabled tools that improve data analysis, process automation, knowledge management, market monitoring, and operational efficiency across the Global Equities business.
Utilize AI-powered solutions, large language models (LLMs), and data science techniques to enhance trading workflows
Participate in the development of next-generation trading systems and analytics platforms.
Engage in testing, implementation, and rollout of new systems, quantitative models, and trading capabilities.
Prepare reports, presentations, and data visualizations that communicate market developments, trading results, and analytical findings.
Qualifications

We are looking for highly motivated individuals who can work well in a competitive, market-driven, team-based environment and are interested in applying quantitative and technical skills within financial markets.
Required Qualifications

Currently enrolled in an undergraduate program and eligible to participate in a 12-16-month co‑op, internship, PEY, ASIP, QUIP or equivalent long‑term internship program
Expected graduation date of December 2028, Spring 2029 or later, in accordance with your school's internship requirements
Working towards a degree in Engineering, Computer Science, Mathematics, Statistics, Actuarial Science, Data Science, Finance, or other quantitative discipline
Experience building technical or quantitative projects through research, hackathons or independent projects is considered an asset
Proven track record of strong academic achievement and extracurricular involvement
Demonstrated interest in and knowledge of financial markets
Strong research, analytical and quantitative skills, with the ability to collect, analyze and interpret data
Strong interpersonal skills and ability to work effectively in a demanding team environment
Demonstrated initiative, resiliency, curiosity and willingness to learn
Strong written and verbal communication skills
Strong attention to detail and ability to manage multiple priorities
Strong work ethic and high level of professional integrity
Additional Preferred Technical Qualifications

Knowledge and/or experience in one or more of the following is considered an asset:
Familiarity with AI

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