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
- Strong Python, PySpark, or SQL coding experience
- Experience profiling data and executing validation controls
- Enterprise data governance framework experience
- Strong technical and non-technical communication skills
Apply data validation, governance, and coding expertise to strengthen TD's models, analytics, reporting, and data quality standards.
Data Quality Validation Specialist in Toronto employer: TD
TD Securities is an exceptional employer located in Toronto, Ontario, offering a dynamic work environment that prioritizes innovation and professional growth. With a strong commitment to employee development, competitive compensation, and a comprehensive benefits package, TD fosters a culture of collaboration and inclusivity, empowering colleagues to thrive both personally and professionally. Join a forward-thinking team where your contributions are valued, and you can make a meaningful impact in the capital markets sector.
