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