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 elementsAnalyze data-quality exceptions and reconciliation breaksDocument lineage, data flows, models, and glossary termsSupport stewardship and investment dataset lifecycle reviewsEnsure consistency across investment data systemsRequirements:
Three to five years in investment management or financial servicesKnowledge of equity, fixed income, or derivative dataUnderstanding of data governance, ownership, quality, and metadataExposure to conceptual or logical data modelingSQL is an asset;
Python or PySpark familiarity is a plusUse investment data governance, quality analysis, metadata, and modeling skills to support trusted enterprise data products.
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