Programme danalyste en technologie temps plein de 2027 (Montral) / 2027 Full-time Technology Analyst Program (Montreal)

About the role

Morgan Stanley’s 2027 Full-Time Technology Analyst Program in Montreal recruits final-year bachelor’s or master’s students for technology roles supporting global financial markets. Analysts receive company, technology, and proprietary-platform training, then join development or enterprise engineering teams. Work may include applications, electronic trading systems, infrastructure, databases, and client-facing technology solutions.

Responsibilities

• Gather and analyze client requirements for technology applications and systems.
• Design, evaluate, integrate, develop, test, and deploy software applications.
• Develop high-performance, low-latency electronic trading systems and complex workflow capabilities.
• Build and maintain networks, computing hardware, operating systems, databases, and enterprise platforms.
• Support trading, mobile, web, and other end-user applications across global financial markets.
• Develop infrastructure solutions, including Windows management and client-reporting delivery systems.

Training and Placement

• Analysts are pre-placed within a Technology division before beginning their full-time roles.
• Complete a global, Morgan Stanley-funded training program held in Montreal.
• Training includes firm orientation, intensive technology instruction, proprietary technologies, and a group project.
• After training, graduates join teams matching their skills and interests.
• The program supports peer networking and preparation for long-term technology careers.

Requirements

• Currently completing the final year of a bachelor’s or master’s degree in a technical discipline.
• Eligible fields include computer science, computer engineering, electrical engineering, mathematics, physics, or related majors.
• Minimum cumulative GPA of 3.0 out of 4.0.
• Strong problem-solving, communication, teamwork, analytical, and technical skills.
• Proficiency in at least one programming language, such as C, C++, Java, Python, or C#.
• Knowledge of Linux/Unix, Windows, object-oriented development, data structures, algorithms, complexity theory, databases, and scripting.