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

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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.

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