Lead quantitative data engineering with Python and SQL at iA Global Asset Management, building production solutions for investment teams.
As Associate Director, you will design, develop, test, deploy, document, monitor, and support data and analytics products. The role combines financial knowledge, up-to-date data engineering, and visualization using Power BI or Streamlit. You will translate investment requirements into governed, reusable, scalable solutions.
Key Responsibilities: Develop complex Python analytical workflows for performance, risk, and fund analytics
Design governed investment data models and curated datasets
Build pipelines using dbt, Prefect, or Airflow
Implement monitoring, reconciliation, recoverability, and production support controls




Communicate technical designs with portfolio managers and investment teams
Requirements: Eight or more years of relevant quantitative or data engineering experience
Strong Python, SQL, and data-modelling skills
Experience delivering production-grade data or analytical products
Experience with Google Cloud Platform and BigQuery or comparable platforms
Degree in computer science, engineering, mathematics, finance, or related discipline
Apply quantitative engineering, financial data expertise, and production ownership to modernize investment analytics at iA Global Asset Management.

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📌 Associate Director Quantitative Data Engineering (Quebec City)
🏢 iA Financial Group (Industrial Alliance)
📍 Quebec City