Remote Python Trainer Jobs in Montreal, QC (NOW HIRING)

We are currently looking to fill multiple senior python developer positions across the Montreal office. From opportunities in our data science environment to equity risk systems, application infrastructure and everything in between, our development teams in Montreal service several business lines.

Our teams are hiring for various levels of experience, so whether you only have a few years of experience, or are a Senior Developer, Technical Lead or Team Lead, we want to speak with you!

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...

What you'll do in the role:

• Design and implement a modern data and forecasting platform that powers critical Firm functions, leveraging Python pipelines, robust schemas, and secure APIs to deliver governed, highquality inputs for model execution.

• Collaborate closely with senior Finance leaders, platform engineers, and data owners to transform business requirements into innovative technical solutions and deliver value through incremental, highimpact releases.

• Apply AIdriven techniques and agentic approaches to accelerate development, automate repetitive tasks, and enhance the intelligence of forecasting workflows.

• Contribute to components that orchestrate model runs, manage dependencies, and standardize inputs/outputs across forecasting workflows.

• Ship wellstructured Python code and unit/integration tests; ensure performance, reliability, and numerical consistency of model results.

• Investigate data and execution issues endtoend (pipelines, mappings, orchestration) and implement durable fixes and safeguards.

• Use version control, code reviews, automated testing, and CI/CD to maintain quality and traceability across the platform.

• Provide thoughtful, constructive feedback; uphold standards for readability, performance, and data governance.

• Produce technical specs, API contracts, and runbooks that make services easy to understand, operate, and audit.

• Identify opportunities to reduce cycle time (e.g., caching, schema normalization, reusable libraries) and strengthen controls for regulated processes.

• Engage in training and upskilling (Python, data engineering, platform tooling, Agentic AI) and share learnings with the team.

What you'll bring to the role:

• Strong Python skills for building data pipelines, orchestration services, and automation; experience with libraries such as Pandas or NumPy is a plus.

• Foundational data science knowledge-ability to work with structured data, apply basic statistical concepts, and understand data quality principles.

• Ability to engage with the broader team, communicate goals, tasks, and deliverables effectively in 11 and team settings.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Understanding of the software development lifecycle and agile methodologies.

• Ability to work well in a collaborative team environment.

• Strong problemsolving skills and attention to detail.

• Strong knowledge of databases, data structures, and query languages (SQL preferred).

• Willingness to learn new technologies and tools, including AIdriven development approaches.

• Knowledge of Java is a plus (experience with Java or other objectoriented languages will be considered an asset).

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.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 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.