Strengthen investment data governance at Connor, Clark & Lunn Financial Group through quality rules, metadata, and trusted datasets. The work model is hybrid.

Within the Investment Data Architecture team, this Data Analyst helps establish standards for investment data products and supports the Investment Data Management platform. You will work with data owners, stewards, engineers, and business teams across security master, pricing, holdings, and reference data. The role requires careful analysis of quality exceptions and reconciliation breaks.

Key Responsibilities:

- Define data quality rules and critical data elements
- Analyze data-quality exceptions and reconciliation breaks
- Document lineage, data flows, models, and glossary terms




- Support stewardship and investment dataset lifecycle reviews
- Ensure consistency across investment data systems

Requirements:

- Three to five years in investment management or financial services
- Knowledge of equity, fixed income, or derivative data
- Understanding of data governance, ownership, quality, and metadata
- Exposure to conceptual or logical data modeling
- SQL is an asset; Python or PySpark familiarity is a plus

Use investment data governance, quality analysis, metadata, and modeling skills to support trusted enterprise data products.

📌 Investment Data Governance Analyst (Vancouver)
🏢 Connor, Clark & Lunn Financial Group (CC&L)
📍 Vancouver