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 solid 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 • Strong 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. #J-18808-Ljbffr

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