• We're seeking someone to join our Credit Risk
• Data Infrastructure team as a Senior Data Infrastructure Engineering Specialist in Risk Tech to design and operate data assets and workflows primarily in Python, SQL, and Snowflake, and help deliver reporting/visibility via Power BI. Exposure to AI/AI agents is a plus, especially where it can improve automation and operational efficiency. The squad’s mission is to provide a stable, governed, and repeatable UAT data environment for application development teams—so they can test confidently and deliver releases smoothly.

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.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions and individuals around the world achieve their financial goals.

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:

• Own and improve the reliability and stability of UAT data environments used by multiple application teams.

• Build, maintain, and enhance data workflows/automation using Python (scripting, APIs, data processing).

• Write and optimize complex SQL (CTEs, window functions, multi-join patterns, query tuning).

• Develop and manage data structures in Snowflake (tables/views, performance considerations, cost-aware usage patterns).

• Create and maintain Power BI dashboards/reports for UAT readiness, reconciliation, and operational metrics.

• Implement data quality checks, validation rules, reconciliation routines, and monitoring to prevent regressions.

• Troubleshoot data issues in UAT, perform root-cause analysis, and drive permanent fixes.

• Collaborate with app/dev teams, QA, and release stakeholders to understand test data needs and timelines.

• Document solutions and support processes (runbooks, standards, repeatable procedures).

What you’ll bring to the role:

• 5–7 years of experience in data engineering, data infrastructure, or analytics engineering roles.

• Strong hands-on experience with Python for automation and data processing.

• Advanced SQL skills, including complex query design and performance optimization.

• Practical experience working with Snowflake in a production-like environment.

• Experience with Power BI (dashboards, models, DAX basics/advanced — as applicable).

• Strong problem-solving skills and comfort working in an environment with multiple stakeholders and priorities.

• Strong ownership mindset and ability to operate/support critical UAT enablement services.

• Clear communicator who can translate requirements across engineering and business/QA stakeholders.

• Bias for automation, standardization, and continuous improvement.

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.