Investment Data Governance Analyst

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.