Senior Quant Engineer

IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments. 

Mackenzie Investments, founded in 1967, is a key part of IGM's business model, serving as a comprehensive asset-management partner for Canadian financial advisors and their clients. 

The Multi-Asset Strategies team is seeking an exceptional technologist to help build the next generation of our systematic investment platform. The role spans market data, investment signals, portfolio construction, and reporting across a technology stack that includes Python, MongoDB/DocumentDB, FactSet/Axioma, Tableau, AWS, and GenAI infrastructure. We are a fast-paced team that moves quickly on new ideas and new technologies.

The ideal candidate is passionate about technology and portfolio management, innovative, productive, humble, and has the highest standard of honesty and integrity. They are motivated by achieving excellence and by being part of a team who strives continuously to be the best in its field. The successful candidate will gain valuable knowledge and skills by being part of a team that makes investment decisions on a large breadth of asset classes, geographies, and investment strategies.

• →Build and operate AWS-based services for portfolio workflows — MWAA, Lambda, Fargate — and the CI/CD pipelines (Jenkins) that support them
• →Develop and extend GenAI infrastructure (Bedrock or SageMaker, vector databases, RAG, LLM application frameworks) to accelerate research and portfolio workflows
• →Design, development, and support of new and existing software and systems supporting systematic investment decisions in equity, options, bonds, currencies, commodities, and related derivative products
• →Implement and support systems behind holdings and position management, trade submission, and reporting
• →Partner with investment professionals and technology teams to build technology that supports their work
• →Own the reliability, observability, and operational health of investment systems running in production
• →Build and maintain data pipelines for market data, alternative data, and investment signals
• →Support day-to-day portfolio management activities
• →Keep the team at the leading edge — scan and evaluate emerging technologies relevant to systematic investing (cloud, GenAI, quant libraries, data platforms), recommend what to adopt, pilot, or skip, and share findings through write-ups and hands-on mentoring

• 5+ years of professional software engineering experience, ideally in financial services or another quantitative domain
• Educational background: degree in a field with experience using technology to solve quantitative problems
• Strong interest in capital markets and the systems that support them required, prior experience an asset
• Advanced knowledge of Python as well as experience using Pandas
• Strong software engineering fundamentals: version control (Git), code review, automated testing, and system design
• Track record of staying current with emerging technologies and bringing teammates along — e.g., evaluating new tools, leading internal tech talks or write-ups, or mentoring others on adoption
• Hands-on AWS (or equivalent cloud technology) experience required, particularly with MWAA (Managed Workflows for Apache Airflow), Lambda, and Fargate. Experience building and maintaining CI/CD pipelines with Jenkins
• Experience with GenAI infrastructure (e.g., Amazon Bedrock or SageMaker, vector databases, retrieval-augmented generation, prompt orchestration, or LLM application frameworks) an asset
• High performing team player
• Excellent communication skills