Toronto data quality specialists can shape Python, PySpark, or SQL controls supporting financial crimes analytics and regulatory reporting at TD.

As a Business Insights Specialist, Data Quality & Validation, you will design, execute, validate, and monitor controls across complex data environments. You will partner with business, analytics, technology, and governance stakeholders to keep data accurate, complete, consistent, timely, and fit for purpose. Your work supports models, dashboards, and reporting.

Key Responsibilities:
Design automated and manual data quality rules
Validate model inputs, transformations, and outputs
Reconcile reporting datasets to authoritative sources
Develop dashboards, KPIs, and monitoring thresholds




Drive issue investigation, tracking, and remediation

Requirements:
Seven or more years in data quality or governance
Robust Python, PySpark, or SQL coding experience
Experience profiling data and executing validation controls
Enterprise data governance framework experience
Solid technical and non-technical communication skills

Apply data validation, governance, and coding expertise to strengthen TD’s models, analytics, reporting, and data quality standards.
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📌 Data Quality Validation Specialist Toronto
🏢 TD
📍 Toronto