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

Location: Toronto, ON, CAN

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 Markets 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 another 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-native AIDLC process.

Programming languages such as Python, Java C++, C#,

Statistical programming languages such as R or MATLAB

Data manipulation and quantitative/statistical analysis

Mathematical and quantitative models

Advanced Excel, including scripting and efficient spreadsheet design

Front-end development languages and frameworks such as HTML, CSS, JavaScript or React

Data analytics, process automation and emerging technologies

Eligibility criteria

Available to work full-time for 12-16 months beginning in May 2027

Enrolled in a recognized post-secondary institution

Legally authorized to work in Canada and will not require sponsorship now or in the future

Application requirements

Please upload the following documents through the online application:

One-page resume

Unofficial Transcript

Cover Letter (Optional)

Please note the salary for this specific position is $100,000 CAD.

Salary

Pay Type

Salaried