Quantitative Developer, Winter 2027 (Co-op/Internship) - 4 months

Application Deadline: 09/11/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting 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 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. Program Overview We are seeking a graduate-level student to join the Alpha Research Team for a full-time winter-term placement as a Quantitative Developer. The 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 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 a Master’s or PhD program in computer science, software engineering, mathematics, financial engineering, quantitative finance, data science, statistics, or a related field. Programming: Strong proficiency in Python and SQL, supported by graduate coursework, research, internships, or substantive technical projects. Data Skills: Experience working with large, structured or unstructured datasets, along with a strong understanding of data validation, transformation, analysis, and reproducible research. Development Foundation: Solid understanding of object-oriented programming, modular design, testing, version control, and maintainable software-development practices. Problem Solving: Strong analytical judgment, attention to detail, intellectual curiosity, and the ability to work independently through open-ended quantitative and 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: Graduate coursework or research experience involving machine learning, statistical modeling, experiment tracking, or model deployment concepts. Financial Technology: Experience with financial datasets, forecasting models, portfolio analytics, risk models, or investment systems is an asset, but not required. What the Graduate Student Will Gain Extended Ownership: The winter term provides an opportunity to own a defined technical or research deliverable and contribute meaningfully from design and implementation through documentation and handoff. 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 must be actively enrolled in a graduate-level degree program and should expect to return to their studies after the winter placement, subject to their school’s requirements. Program Length: Availability for a full-time placement for the winter academic term. Evidence of Interest: Relevant graduate coursework, research, internships, publications, open-source contributions, or substantive software projects are considered valuable. Salary : $55,000.00 - $115,000.00 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: 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 . 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.