Lead investment data engineering at iA Global Asset Management with Python and cloud analytics expertise. Build scalable products for investment teams.
As Associate Director, you will own analytical data products and visualization solutions across their full lifecycle. Apply Python, SQL, dbt, and cloud engineering practices to financial and quantitative data. Partner with portfolio managers, performance, risk, and engineering teams to modernize workflows. This hands-on role focuses on data engineering, not quantitative research or portfolio management.
Key Responsibilities: Develop Python workflows for performance, risk, and fund analytics
Transform analytical logic into tested production solutions
Design reusable investment data models and pipelines
Build visualizations with Power BI and Streamlit




Investigate production issues and implement sustainable solutions
Requirements: Eight or more years of relevant quantitative or data engineering experience
Solid Python, SQL, and data-modelling skills
Experience with dbt or comparable analytics-engineering frameworks
Experience with Google Cloud Platform and BigQuery
Degree in computer science, engineering, mathematics, finance, or related discipline
Bring Python, cloud engineering, and investment-data expertise to scalable analytical products at iA Global Asset Management.

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📌 Associate Director Investment Data Engineering (Quebec City)
🏢 iA Financial Group
📍 Quebec City