Python jobs in Canada

We're seeking someone to join our Trade Surveillance Analytics team a Machine Learning Developer in Non-Financial Risk Technology to build robust data pipelines, scalable ML systems, and innovative analytics and collaborate with Data Scientists, Developers, and cross-functional stakeholders to transform big data into actionable insights—bringing high-impact analytics from concept to production.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineering III position at Associate level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

• Design, develop, and maintain data pipelines for ingesting, transforming, and analyzing large-scale trading datasets.
• Implement and productionize advanced analytics and machine learning workflows—leveraging Spark, Python and modern big data technologies.
• Collaborate closely with Data Scientists and Engineering team members to operationalize models and automation.
• Optimize code and data workflows for performance, scalability, and reliability.
• Leverage MLOps components, automate feature engineering as part of robust, production ML workflows.
• Write clean, well-tested, well-documented code and participate in code reviews.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 5+ years of relevant professional experience in software development, data engineering, or machine learning applications.

• Programming: Proficiency with Python (ex. Pandas, NumPy, Jupyter Notebooks), SQL for data engineering and analytics.
• Exposure and/or interest in the latest technologies in machine learning, AI (Modern AI: Generative AI, Multi-Agent Systems, MCP, Agentic AI architectures) and big data; advocate for best practices across the team.

• Experience with Java, Scala (e.g. Spark)
• Big Data & ML Platforms: Spark, Databricks, Snowflake, Azure
• Machine Learning & MLOps: Feature stores, model registry, MLOps frameworks, continuous model monitoring and retraining, scalable model deployment
• Front-end Development: React (for building dashboards or UI integrations)

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.