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Quantitative Developer (Alpha Research Team) - GAM, Summer 2027 (Co-op/Internship) - 12 months
BMO
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Data Engineering & Integration: Support pipelines that ingest, validate, transform, and distribute financial datasets; contribute to data-quality, integrity, and reliability checks.
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BMO

Quantitative Developer (Alpha Research Team) - GAM, Summer 2027 (Co-op/Internship) - 12 months

Toronto, ON, Canada
FCP, Canada

Pay: $40,500.00 - $80,000.00
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 14, 2026

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Original job description

Application Deadline:

10/23/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Internship Start Date: The internship program begins on May 3rd 2027. Due to the structured nature of the program, onboarding activities, and cohort experience, candidates are expected to be available for the full internship term. Availability for the entire program duration is required to successfully participate in the internship.

As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Banking Mentorship Program, BMO Social Squad student-led activities, BMO Academy learning platform and access to various Employee Resource Groups to further develop your network within BMO.

Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @bmocanada | @bmo_us and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

This Role Is for You If...

If the opportunity to tackle some of the hardest challenges in finance excites you, this role is for you. You will help build the data pipelines and research technology behind stock forecasting, turn quantitative ideas into real investment capabilities, and contribute to the systems used to deploy billions of dollars in investment capital. This is an opportunity to apply your technical skills to consequential, real-world problems while learning alongside experienced quantitative researchers, developers, and investment professionals.

Program Overview

We are seeking an undergraduate student who has completed their third year of study to join the Alpha Research Team for a 12-month co-op placement. The co-op student will help build the technology, data infrastructure, and research tools that support security forecasting, quantitative research, portfolio analytics, and investment decision-making. Working closely with quantitative researchers, analysts, portfolio managers, and data engineering teams, the successful candidate will gain sustained, hands-on experience developing practical solutions used across investment workflows.

Key Responsibilities

Research Platform Development: Help build and enhance tools, libraries, and frameworks for security forecasting, quantitative research, factor modeling, portfolio analysis, machine learning workflows, and portfolio analytics.
Data Engineering & Integration: Support pipelines that ingest, validate, transform, and distribute financial datasets; contribute to data-quality, integrity, and reliability checks.
Application & Tool Development: Develop dashboards, APIs, utilities, and analytical applications that improve research and portfolio-management workflows.
Research Implementation: Work with researchers and analysts to translate models, forecasting signals, and analytics into reliable, reusable, and well-documented code.
Cloud & Infrastructure: Assist with deployment, automation, monitoring, and operational support for quantitative solutions in cloud or on-premises environments.
Software Engineering Practices: Participate in code reviews, testing, documentation, version control, and CI/CD workflows to improve reliability and reproducibility.
Cross-Team Collaboration: Gather requirements and deliver practical technology solutions in partnership with investment and technology professionals.
Continuous Improvement: Explore new development frameworks, data tools, and quantitative technologies that may improve team capabilities and efficiency.

Candidate Profile

Education: Currently enrolled in an undergraduate co-op program in computer science, software engineering, mathematics, financial engineering, data science, statistics, or a related field, with third-year studies completed before the placement begins.
Programming: Working proficiency in Python and SQL, supported by coursework, internships, co-op experience, research, or personal projects.
Data Skills: Experience working with structured or unstructured datasets and an understanding of data validation, transformation, and analysis.
Development Foundation: Familiarity with object-oriented programming, modular design, testing, version control, and maintainable code.
Problem Solving: Strong analytical skills, attention to detail, curiosity, and willingness to work through open-ended technical problems.
Collaboration: Ability to communicate clearly, receive feedback, document work, and contribute effectively in a team environment.
Investment Interest: Interest in quantitative finance, investment management, financial markets, or the application of technology to investment research.

Preferred Skills

Development Workflows: Experience with Git, pull requests, code review, automated testing, or CI/CD concepts.
Data & Compute: Exposure to Pandas, Polars, DuckDB, Spark, or similar data-processing frameworks.
Cloud & APIs: Familiarity with AWS, Azure, or GCP, as well as APIs, microservices, or data-integration frameworks.
Workflow Tools: Exposure to Airflow, Prefect, Docker, or similar orchestration and containerization technologies.
Machine Learning: Coursework or project experience involving machine learning, experiment tracking, or model deployment concepts.
Financial Technology: Experience with financial datasets, portfolio analytics, risk models, or investment systems is an asset, but not required.

What the Co-op Student Will Gain

Extended Ownership: The 12-month term provides the opportunity to move beyond short assignments and contribute to longer-running initiatives from design through delivery and support.
Applied Engineering: Hands-on experience building research and production tools in an institutional investment environment.
Technical Growth: Practical exposure to software engineering, data pipelines, cloud workflows, quantitative analytics, and collaborative development practices.
Investment Exposure: A stronger understanding of how technology supports alpha research, risk modeling, portfolio construction, and investment decision-making.
Mentorship: Regular collaboration with quantitative researchers, developers, analysts, portfolio managers, and data professionals.

Eligibility

Academic Stage: Applicants should have completed the third year of an undergraduate degree before the co-op term begins and expect to return to their studies after the placement, subject to their school’s co-op requirements.
Program Length: Availability for a full-time, 12-month co-op placement.
Evidence of Interest: Relevant coursework, internships, co-op experience, research, hackathons, or personal software projects are considered valuable.

Salary:

$40,500.00 - $80,000.00

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

The co-op student will develop technology, data infrastructure, and research tools to support security forecasting and quantitative investment workflows. They will collaborate with researchers and analysts to implement models and maintain reliable data pipelines.

Requirements

Candidates must be currently enrolled in an undergraduate program in a quantitative field and have completed their third year of study. Proficiency in Python and SQL, along with strong analytical and problem-solving skills, is required.

Skills

Python
SQL
Data engineering
Quantitative research
Machine learning
Portfolio analytics
Cloud computing
API development
Git
CI/CD
Data validation
Financial modeling
Software engineering
Object-oriented programming
Data pipelines

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Mentorship program

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Developer
Alpha Research
Python
SQL
Data Pipelines
Stock Forecasting
Investment Capital
Machine Learning
Portfolio Analytics
Cloud
AWS
Azure
GCP
Git
CI/CD
Pandas
Polars
DuckDB
Spark
Airflow
Docker
Financial Markets
Risk Models
Data Engineering
Software Engineering
Co-op
Internship
Quantitative Finance
API
Microservices

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