Senior Quantitative Data Engineer
Summary
Senior analyst builds and maintains investment data products for iA Global Asset Management: dbt transformation pipelines, Power BI and Streamlit analytics, plus validation and monitoring controls on Google Cloud (BigQuery, Cloud Storage), partnering with portfolio management, trading, performance, risk, and research teams.
Build investment data products with Python, dbt, and Google Cloud Platform in Quebec or Montreal at Industrial Alliance Investment Management.
As Senior Analyst, Quantitative Data Science, you will develop scalable analytical solutions for iA Global Asset Management. Partner with investment teams across portfolio management, trading, performance, risk, and research. Transform financial requirements into trusted datasets, pipelines, visualizations, and AI-ready assets.
Key Responsibilities:
- Develop and maintain analytical data products for investment workflows
- Design scalable models and transformation pipelines using dbt
- Build Power BI and Streamlit analytical experiences
- Implement validation, reconciliation, monitoring, and operational controls
- Support cloud-native solutions using BigQuery and Cloud Storage
Requirements:
- Eight or more years for senior candidates
- Strong Python, data engineering, and analytics engineering skills
- Experience with Google Cloud Platform, BigQuery, and dbt
- Knowledge of orchestration, Docker, GitHub, and CI/CD concepts
- Investment analytics experience and advanced French are assets
Apply quantitative literacy, Python, dbt, and cloud data engineering to reliable investment analytics products at iA.