- Design and build production-grade quantitative data products, financial workflows, and time-series processing systems in Python.
- Implement governed data models, transformations, and scalable pipelines using dbt, Snowflake/BigQuery, and orchestration tools like Airflow or Prefect.
- Deliver visualization and analytical applications using tools such as Power BI and Streamlit.
- Leverage AI-assisted development to accelerate data engineering solutions and modernize existing workflows.
- Partner directly with portfolio managers, risk teams, and investment professionals to translate financial requirements into scalable technical products.
Associate Director (remote)
- 41197
- Life – Investments
- Canada
- yesterday
RESPONSIBILITIES
- Design and build production-grade quantitative data products, financial workflows, and time-series processing systems in Python.
- Implement governed data models, transformations, and scalable pipelines using dbt, Snowflake/BigQuery, and orchestration tools like Airflow or Prefect.
- Deliver visualization and analytical applications using tools such as Power BI and Streamlit.
- Leverage AI-assisted development to accelerate data engineering solutions and modernize existing workflows.
- Partner directly with portfolio managers, risk teams, and investment professionals to translate financial requirements into scalable technical products.
QUALIFICATIONS
- 5+ years of experience in quantitative engineering, data engineering, analytics engineering, or financial data solutions.
- Strong proficiency in Python, SQL, and modern data-modelling frameworks (dbt).
- Experience with cloud data platforms
- Solid grasp of investment, financial, and risk data
SALARY
- 110-140k
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