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Manager - Stress Testing Data, Controls and Analytics

Job in Toronto, Ontario, C6A, Canada
Listing for: TD
Full Time position
Listed on 2026-10-25
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 96900 - 136800 CAD Yearly CAD 96900.00 136800.00 YEAR
Job Description & How to Apply Below
Line Of Business
Analytics, Insights, & Artificial Intelligence

Work Location
Toronto, Ontario, Canada

Hours
37.5

Line Of Business
Analytics, Insights, & Artificial Intelligence

Pay Details
$96,900 - $136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description
Department Overview
The Enterprise Stress Testing group manages the Bank’s enterprise and regulatory stress testing programs, ad hoc stress analysis and support for climate stress analysis. The group coordinates scenario execution, balance sheet and income statement projections, aggregation of results, and reporting to senior management, Board committees and regulators. The Aggregation & Control team is responsible for combining outputs from multiple work streams and producing complete, accurate, controlled and traceable enterprise stress testing results.

Role Overview
The Manager, Stress Testing Data, Controls & Analytics is a senior hands-on delivery role within Aggregation & Control. The role combines stress testing subject-matter expertise, data management, technical analysis, control design, regulatory reporting and cross-functional delivery. The successful candidate will sustain current MST and EWST execution while helping modernize the operating model for MST 2.0 using Python, Databricks and Power BI.

This role requires a professional who can move confidently between business requirements, regulatory templates, data mappings, transformation logic, controls, reconciliations and executive-ready reporting. The individual must be able to challenge results, investigate issues to root cause, translate requirements for technology partners and maintain audit-ready evidence of key decisions and approvals.

Key Accountabilities

Stress Testing Execution and Regulatory Reporting

Lead or coordinate the aggregation, validation and submission of MST, EWST and related regulatory stress testing results, including templates, supporting schedules and management reporting outputs.

Interpret regulatory template requirements and translate them into clear data, mapping, ownership, control and reporting requirements for business segments and technology partners.

Coordinate cycle activities across work streams, monitor data readiness and issue resolution, and provide clear status, risks and decisions to senior stakeholders.

Perform detailed review and challenge of results, including actuals, projections, ratios, adjustments, eliminations, scenario and version comparisons, and movement analysis.

Maintain complete and audit-ready support for submissions, including approvals, attestations, reconciliations, control evidence, issue logs and change records.

Data Aggregation, Mapping and Governance

Own and maintain critical mapping and reference data used to connect source data, regulatory codes, management reporting line items, model outputs, schedules and enterprise reporting views.

Design and govern data quality rules, lineage, ownership dictionaries, metadata and reconciliation points across the end-to-end aggregation process.

Partner with Finance, business segments, reporting teams and technology to improve access to source data, reduce manual data handling and establish reusable governed datasets.

Support the design and implementation of stress testing data marts, semantic models and scalable data structures that provide a controlled single source for reporting and analysis.

Assess downstream impacts of source, methodology, template and configuration changes and ensure changes are appropriately tested, approved and documented.

Controls, Reconciliation and Assurance

Design, execute and enhance preventative and detective controls for completeness, accuracy, reasonability, mapping integrity, version consistency, actuals-to-projection continuity, ratios and consolidation eliminations.

Investigate data and reporting exceptions, determine root cause,…
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