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About the Role

This 12-month co-op placement offers an undergraduate student the opportunity to join the Alpha Research Team. The role involves building technology, data infrastructure, and research tools to support security forecasting, quantitative research, portfolio analytics, and investment decision-making. The student will gain hands-on experience developing practical solutions used across investment workflows, working closely with quantitative researchers, analysts, portfolio managers, and data engineering teams.

Responsibilities

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

Requirements

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.
Working proficiency in Python and SQL, supported by coursework, internships, co-op experience, research, or personal projects.
Experience working with structured or unstructured datasets and an understanding of data validation, transformation, and analysis.
Familiarity with object-oriented programming, modular design, testing, version control, and maintainable code.
Strong analytical skills, attention to detail, curiosity, and willingness to work through open-ended technical problems.
Ability to communicate clearly, receive feedback, document work, and contribute effectively in a team environment.
Interest in quantitative finance, investment management, financial markets, or the application of technology to investment research.
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.
Availability for a full-time, 12-month co-op placement.
Relevant coursework, internships, co-op experience, research, hackathons, or personal software projects are considered valuable.

Skills

Python
SQL
Object-oriented programming
Modular design
Testing
Version control
Maintainable code
Analytical skills
Attention to detail
Curiosity
Communication
Feedback reception
Documentation
Teamwork
Quantitative finance
Investment management
Financial markets
Technology application to investment research
Git
Pull requests
Code review
Automated testing
CI/CD concepts
Pandas
Polars
DuckDB
Spark
AWS
Azure
GCP
APIs
Microservices
Data-integration frameworks
Airflow
Prefect
Docker
Machine learning
Experiment tracking
Model deployment
Financial datasets
Portfolio analytics
Risk models
Investment systems

Location

100 King Street West

Work Type

Full-time
Co-op placement

Experience Level

Third-year undergraduate student

Education Level

Undergraduate co-op program in computer science, software engineering, mathematics, financial engineering, data science, statistics, or a related field

Salary/Compensations

$40,500.00 - $80,000.00

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

About the Company

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.

Equal Opportunity

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.