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.

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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

Robust 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.

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