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

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

Toronto, ON, Canada
FCP, Canada

Please note the salary for this specific position is $100,000 CAD. · Full-time

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Job details

Pay: Please note the salary for this specific position is $100,000 CAD.
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

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

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

You will be integrated into the Global Markets team to contribute to program trading, electronic trading, and systematic trading initiatives. Responsibilities include designing AI-enabled tools for data analysis and developing next-generation trading systems and analytics platforms.

Requirements

Candidates must be currently enrolled in an undergraduate program in a quantitative discipline such as Engineering, Computer Science, or Mathematics. You should have strong analytical skills, experience with technical projects, and a demonstrated interest in financial markets.

Skills

Python
Java
C++
C#
R
MATLAB
Data analysis
Quantitative modeling
Financial markets
AI-enabled tools
Large language models
Data visualization
Statistical analysis
Trading systems
Process automation
Stakeholder management

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Trading
Capital Markets
Engineering
Computer Science
Mathematics
Statistics
Actuarial Science
Data Science
Finance
Python
Java
C++
C#
R
MATLAB
AI
Large Language Models
Data Analytics
Trading Systems
Financial Modeling
Equities
ETFs
Systematic Trading
Process Automation
Market Risk
Investment Banking
Data Visualization
Research
Hackathons
Quantitative Research

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