BMO Capital Markets Fall 2026, Full Stack Engineer, Toronto

Job Description

Application Deadline: 05/18/2026 Address: 100 King Street West Job Family Group: Technology About our Team: Join the Data Cognition Team at BMO Capital Markets, a leading North American financial services provider. Our team develops scalable, customizable, and sustainable AI-enabled products for various business units at BMO Capital Markets. Leveraging the latest AI research and applications, we solve the most challenging business problems. Program Overview: As an intern on the Data Cognition Team (DCT), you will develop the next generation of strategic solutions for trading, sales, investment and corporate banking, and client analytics. In this role, you will collaborate closely with AI experts, engineers, sales and trading professionals, bankers, and other stakeholders to push the boundaries of innovation. This 15-week co-op program offers continuous professional development and networking opportunities with senior leaders and peers. Your work will directly influence BMO Capital Markets and its clients, providing tangible results and real-world impact. Role Overview: We are seeking a talented Full Stack Engineer intern to join our team. The ideal candidate will have experience with modern web development stacks and will be responsible for designing, developing, and maintaining software solutions that meet the needs of our clients. Key Responsibilities: Application Development & Design: Design, develop, and maintain high-performance interactive web applications using modern front-end frameworks (e.g., React). Create and enhance user-friendly web interfaces with appealing and intuitive UX design. Develop and manage RESTful APIs and advanced reporting tools for capital market trading. Incorporate AI and machine learning into the solutions you develop, staying at the forefront of technological advancements. Programming & Technical Skills: Write clean, efficient code in modern programming languages (e.g., Python, C#, C ). Participate in code reviews, unit testing, and quality assurance activities. Deploy solutions in cloud environments and use virtualization techniques like Docker. Data Management & Analysis: Make data accessible and implement automated ETL processes . Collaboration & Support: Work closely with cross-functional teams and business stakeholders to understand requirements and develop solutions. Enhance and support existing applications and systems. Evaluation & Problem Solving: Demonstrate excellent problem-solving and analytical skills. Qualifications: Currently enrolled in an undergraduate or non-MBA Master’s program with a graduation date of December 2027, 2028, 2029 in Computer Science, Mathematics, Physics, Statistics, Engineering, or similar, with a strong academic record You are a Canadian citizen, permanent resident of Canada, or an individual who is legally authorized to work in Canada and will not require sponsorship in the future Proficient in multiple programming languages and willing to learn new ones. Strong experience wi

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