Data Quality & Validation Specialist, Analytics Insights

TD; Toronto; On-site; CAD 97,000 - 137,000; Full time

Job summary

TD seeks a Business Insights Specialist, Data Quality & Validation, to design, validate, and monitor data quality controls across the end-to-end data lifecycle. This individual contributor role focuses on ensuring accuracy, completeness, consistency, and timeliness of data for models, dashboards, and reporting.

You will partner with data engineering and analytics teams to embed quality controls, drive remediation, and support regulatory and management reporting.

Qualifications

• 7+ years of experience in data quality, data governance, data validation, analytics, or risk/data management roles.
• Experience in Insider Risk and/or Financial Crime Risk Management (FCRM) is an asset.
• Proven ability to support models, analytics, and reporting through strong data quality assurance practices.
• Ability to translate business requirements into executable data quality rules.

Responsibilities

• Design, implement, and maintain data quality rules for models, dashboards, and reporting.
• Define validation logic for accuracy, completeness, uniqueness, validity, consistency, and timeliness aligned to enterprise data standards.
• Partner with data engineering and analytics teams to embed data quality controls across data capture, data at rest, data movement, and data usage layers.
• Perform independent validation of data inputs, transformations, and outputs supporting analytical and detection models.
• Assess data quality risks impacting model performance, explainability, and downstream decision-making.
• Establish ongoing monitoring metrics and thresholds to detect data drift, anomalies, and control breaks affecting models and analytics.
• Validate datasets used for regulatory, risk, finance, and management reporting, ensuring reported figures reconcile to authoritative sources.
• Support reporting owners by identifying data quality gaps, root causes, and remediation actions prior to publication.
• Provide data quality attestations, summaries, and insights to governance forums as required.
• Develop and maintain data quality dashboards and KPIs that track rule performance, exceptions, and trends over time.
• Lead investigation of data quality issues, document findings, and drive remediation plans in partnership with data owners and custodians.
• Ensure data quality issues are logged, tracked, and resolved in accordance with enterprise data concern and remediation processes.
• Act as a trusted advisor to business and technology teams on Enterprise Data Management Standard published by EDMO.
• Contribute to the evolution of enterprise data risk frameworks, policies, and best practices.
• Support audits, regulatory inquiries, and internal reviews by providing evidence of data quality controls and monitoring effectiveness.

Skills

Data quality

Data governance

Analytical skills

Communication

Tools

Python

PySpark

SQL

Databricks

SSMS

Job description

TD seeks a Business Insights Specialist, Data Quality & Validation, to design, validate, and monitor data quality controls across the end-to-end data lifecycle. This individual contributor role focuses on ensuring accuracy, completeness, consistency, and timeliness of data for models, dashboards, and reporting.

You will partner with data engineering and analytics teams to embed quality controls, drive remediation, and support regulatory and management reporting.