Shape the future of finance with iA Global Asset Management as a Quant Systems Engineer. This hybrid role focuses on transforming analytical workflows and enabling AI capabilities across investment teams. As a pivotal member of the iAGAM Data Science team, you will engage directly with Front Office investment teams, co-developing solutions that enhance quantitative workflows.

Your responsibilities include designing production-ready implementations, standardizing analytical processes, and integrating data pipelines for robust, maintainable solutions. This hands-on technical role requires a balance of strong software engineering and quantitative fluency. Key Responsibilities:

- Co-develop quantitative solutions for investment workflows




- Translate research into deployable implementations
- Ensure maintainable, scalable analytical solutions
- Collaborate with data engineering on reliable pipelines
- Identify AI opportunities for enhanced workflows Requirements:
- 5-8 years of relevant experience in software engineering
- Robust Python programming skills
- Experience in data-intensive environments
- Understanding of quantitative finance concepts
- Familiar with AI/ML applications and CI/CD processes Leverage your expertise in quantitative systems to drive innovation and collaboration within iAGAM.

📌 Quant Systems Engineer at iA Global Asset Management (Quebec City)
🏢 iA Financial Group
📍 Quebec City