Summer Intern 2026 - Investment Management, Fixed Income Platform Engineering

Mackenzie Investments is a leading wealth and asset management company in Canada, managing approximately $271 billion in assets. They are seeking a Quantitative Developer Intern for the summer term to support the Fixed Income Platform Engineering group by implementing and executing key elements of their investment processes.

Responsibilities

• Contribute to the design and implementation of analytics, research workflows, and decision-support tools for fixed income portfolio management
• Build and maintain software and infrastructure that power systematic research and data workflows
• Help monitor, troubleshoot, and improve live production processes, gaining exposure to real-world systems at scale
• Collaborate with teammates across the platform and portfolio engineering teams, as well as with researchers and portfolio managers across Fixed Income
• Participate actively in a modern software development environment, including version control, testing, and code review

Skills

• Proven academic performance in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Economics, or Finance
• Active programming proficiency, with fluency in Python
• Hands-on experience working with large datasets, particularly within the Python ecosystem (e.g., NumPy, SciPy, Pandas, Polars), and working knowledge of both SQL and NoSQL databases
• Enthusiasm for applying modern development tools and best practices across the entire software application lifecycle
• Foundational understanding of financial markets, and a motivation to deepen knowledge of fixed income and quantitative finance
• Mindset oriented toward independent thinking, curiosity, and creative problem-solving
• High attention to detail and a consistent focus on producing accurate, high-quality work
• Effective interpersonal, verbal, and written communication skills
• Ability to contribute in both remote and in-person collaborative environments
• Experience with other languages like JavaScript/TypeScript, C++/Java, MATLAB, R, or Rust is an asset
• Familiarity with statistics, econometrics, and related forecasting techniques

Benefits

• Paid time off

Company Overview