We're seeking someone to join our Equity Risk Systems team as a Senior Python Developer in ESTAR to be responsible for using Python to automate various processes around the QA and DevOps world
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 position at Vice-President 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.
Leverage a strong background in Python programming.
Enhance overall developer productivity across our fleet.
Streamline workflows, reduce manual tasks, and contribute to the efficiency and effectiveness of our Equity Risk development & QA teams.
Lead the design, development, and testing of high-performance tools and data platforms.
Perform hands-on coding expertise with strategic leadership to align technology with business objectives.
Own the full lifecycle of Python applications, services, and data pipelines that power real-time risk analytics—from architecture and clean, well-tested code to production reliability.
Drive automation and operational excellence by building CI/CD pipelines, containerizing workloads, and implementing infrastructure as code, ensuring scalability, security, and resilience across our systems.
6+ years of experience developing large-scale Python applications and services.
• Solid understanding of Linux operating systems.
• Demonstrated ability to comprehend and analyze complex distributed systems, including their interdependencies and deployment processes.
• Solid understanding of Jenkins and pipeline-as-code.
• A passion for streamlining manual tasks through automation and actively supporting DevOps initiatives.
• Solid understanding of data structures and algorithms.
• Knowledge of relational databases and SQL.
• Experience writing unit tests and using patching/mocking frameworks.
• Bachelor’s degree in Computer Science or a related field.
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. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
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. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.
