Associate Director Quantitative Data Engineering
Summary
Design, build, deploy, and support production data and analytics products for investment teams at iA Global Asset Management — developing Python/SQL workflows for performance, risk, and fund analytics, orchestrating pipelines with dbt, Prefect, or Airflow on GCP/BigQuery, and visualizing results with Power BI or Streamlit.
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, modern 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.