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, contemporary 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.

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