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Manager Stress Testing Data, Controls and Analytics

TD Bank


Job Location:

Toronto - Canada

Yearly Salary: CAD 96900 - 136800
Posted: 24 September 2026 (5 hours ago)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Analytics Insights & Artificial Intelligence

Pay Details:

$96900 - $136800 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

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 at TD. Our 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 candidates 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 Banks 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 workstreams 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
1. 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 workstreams 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.


2. 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.


3. 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 quantify impact coordinate remediation and document conclusions for management and audit review.

Establish repeatable testing peer review and sign-off practices for configuration files data transformations dashboards reports and automation solutions.

Monitor controls performed by technology teams and dependent workstreams challenge unresolved exceptions and confirm evidence is sufficient for regulatory and internal assurance expectations.

Identify opportunities to automate reconciliations exception reporting attestation workflows and evidence capture.


4. MLE 2.0 and Analytics Modernization

Act as a business and data lead for the transition from SAS and Excel-intensive processes toward Python and Databricks-based data pipelines controls and analytics.

Translate current business logic mappings and controls into well-defined requirements acceptance criteria and test cases for MST 2.0 and MLE 2.0.

Use Python SQL and Databricks notebooks to profile data validate transformations reconcile outputs automate repeatable analysis and support production readiness.

Design or oversee Power BI semantic models measures dashboards and reporting products that support controlled self-service analysis and consistent enterprise reporting.

Ensure modernized solutions include versioning lineage role-based access change control testing monitoring documentation and support procedures from inception.

Support parallel-run testing and back-testing between current and target-state solutions with clear documentation of variances defects and resolution.


5. Process Improvement and Change Delivery

Lead initiatives to automate manual actuals population projections adjustments ratio checks management and regulatory reconciliations and recurring reporting outputs.

Develop process maps business requirements control requirements implementation plans test strategies standard operating procedures and training materials.

Prioritize enhancements based on regulatory risk control effectiveness cycle efficiency scalability and stakeholder value.

Coordinate delivery across business data technology and reporting teams and ensure solutions are operationally supportable after implementation.

Promote reusable design patterns disciplined documentation and continuous improvement across the Aggregation & Control function.


6. Stakeholder Leadership

Build strong working relationships across Enterprise Stress Testing Finance Treasury business segments Data Technology Risk and regulatory reporting teams.

Communicate complex data financial and technical issues clearly to audiences with varied levels of seniority and technical expertise.

Facilitate working groups requirements discussions issue-resolution sessions and decision forums and drive actions to completion.

Provide technical and process guidance to team members and project resources and support knowledge transfer for critical processes.


Required Qualifications and Experience

University degree in Finance Accounting Economics Mathematics Statistics Computer Science Data Engineering or another relevant quantitative discipline.

Five or more years of progressive experience in stress testing regulatory reporting treasury finance data risk data advanced analytics data engineering or a related field.

Demonstrated experience working with large financial datasets complex mappings transformation logic reconciliations and controlled reporting processes.

Experience translating business and regulatory requirements into data specifications controls test cases and implementation deliverables.

Advanced SQL skills and practical programming experience in Python for data manipulation validation automation and testing.

Hands-on experience with Databricks or a comparable cloud analytics platform including notebooks data pipelines data quality checks and version-controlled development practices.

Advanced Power BI experience including data modelling semantic models DAX report development refresh processes security concepts and performance considerations.

Working knowledge of SAS and Excel sufficient to understand validate and transition existing stress testing processes and end-user computing solutions.

Strong understanding of data governance lineage metadata change management control design and audit evidence requirements.

Excellent written and verbal communication stakeholder management problem solving and project delivery skills.


Preferred Qualifications and Experience

Knowledge of enterprise stress testing MST EWST OSFI regulatory templates capital liquidity balance sheet and income statement concepts.

Experience with MLE M4 P3 BCAR Hyperion/FCCS regulatory reporting data or comparable financial reporting infrastructure.

Experience designing star schemas governed semantic layers reusable reporting datasets or data marts for financial reporting.

Experience with Azure data services ADLS Git or Azure DevOps CI/CD practices automated testing and production support controls.

Experience leading cross-functional initiatives and supporting implementation through requirements design testing deployment and stabilization.

CPA CFA FRM MBA PMP data engineering cloud or analytics certification is an asset.


Core Competencies and Personal Qualities

Deep analytical curiosity and strong attention to detail

Controls mindset and professional skepticism

Ability to connect business financial and technical concepts

Sound judgement under tight regulatory timelines

Structured problem solving and root-cause analysis

Clear executive and technical communication

Strong relationship management and ability to influence

Ownership initiative and follow-through

Comfort operating through ambiguity and change

Commitment to documentation knowledge transfer and sustainable solutions



Work activities include a blend of highly collaborative activities and individual deliverables. Individuals are expected to be onsite 4 days a week. Colleagues may spend more or less days in office as required by the business line.

Who We Are:

TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day we strive to make every interaction product and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to foster deeper relationships ensure disciplined execution and build a simpler faster banking experience. TD is deeply committed to being a leader in client experience that is why we believe that all colleagues no matter where they work are client facing. Together we are reimagining what banking can be for our clients colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial physical and mental well-being goals. Total Rewards at TD includes a base salary variable compensation and several other key plans such as health and well-being benefits savings and retirement programs paid time off banking benefits and discounts career development and reward and recognition programs. Learn more

Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.


Colleague Development

If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If youre passionate about helping clients and building deep lasting relationships TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

Were committed to your success and foster a respectful workplace where diverse perspectives are valued everyone has fair opportunities to grow and you can unlock your full potential to achieve your career goals. Here at TD we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Required Experience:

Manager


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