Lead stress testing data, controls, and analytics at TD in Toronto, using Python, SQL, Databricks, and Power BI. This role is onsite four days weekly.

The Manager, Stress Testing Data, Controls & Analytics is a senior hands-on delivery role within Aggregation & Control. You will support MST and EWST execution, regulatory reporting, data governance, and operating-model modernization. The work connects business requirements, regulatory templates, mappings, transformations, reconciliations, controls, and executive-ready reporting.

Key Responsibilities: Coordinate aggregation, validation, and submission of stress testing results

Maintain mappings, lineage, metadata, and reconciliation points

Investigate exceptions, determine root causes, and document conclusions

Use Python, SQL,



and Databricks to validate transformations

Design Power BI models, measures, dashboards, and reporting products

Requirements: University degree in a relevant quantitative discipline

Five or more years of progressive related experience

Advanced SQL and practical Python programming experience

Hands-on Databricks and advanced Power BI experience

Knowledge of governance, lineage, controls, and audit evidence

Bring stress testing expertise, analytical discipline, and technical delivery skills to TD’s Toronto Aggregation & Control team.

📌 Manager Stress Testing Data Controls (Toronto)
🏢 TD
📍 Toronto