ORM Lead Business Insights Specialist, Stress Testing & Scenario Analysis

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$115,440 - $186,160 USD

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 candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

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Line of Business:

Analytics, Insights, & Artificial Intelligence

Job Description:

Department Overview:

ORM Lead Business Insights Specialist, Stress Testing & Scenario Analysis will serve as a key resource leading ORM’s stress testing and scenario analysis program. This role requires ability to execute advanced quantitative modeling along with managing high-stakes regulatory governance.

The Lead Business Insights Specialist acts as an advisor to business leaders and stakeholders.  This role provides comprehensive analytical support, interpretation of complex data, BI or analytics outcomes to generate multidimensional insights that drive business growth and value.  This role works in partnership with business leaders to present or generate appropriate insights including the delivery of supporting collateral and/or presentations.

Depth & Scope:

• Generally accountable for a significant business or area that has cross business or enterprise-wide impact or accountability

• Enterprise domain/functional and deep specialized knowledge at the enterprise, business, regulatory and industry levels

• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes

• Typically deals with senior/executive management

• Focuses on longer-range planning for functional area (e.g. 12 months or greater)

• May manage and prioritize multiple projects at a given time

• May interact with any hierarchy level up to executive leaders and external vendors

Primary Accountabilities:

• Regulatory Execution: Lead the end-to-end delivery of the ORM Stress Testing Program, ensuring all regulatory requirements for operational risk losses and capital are met within required timelines.

• Scope: Manage the execution of:

  • US Regulatory: Dodd-Frank Act Stress Testing (DFAST) and Comprehensive Capital Analysis and Review (CCAR).

  • Canadian Regulatory: OSFI Macro Stress Test (MST).

  • Internal: Annual Enterprise-wide Stress Test (EWST) and ad-hoc requests.

• Scenario Analysis: Lead the development and implementation of the Scenario Analysis program, ensuring alignment with enterprise standards and regulatory requirements.

• Methodology & Documentation: Aid in the development and execution of the methodology, procedures, and documentation for operational risk stress testing programs.

• Collaboration: Partner extensively with key stakeholders to ensure program success, including Model Development and Model Validation, ORM Internal Loss Event Data team, Enterprise Capital Stress Testing, US CCAR Governance team, Finance, Regulators, and External Consultants

• Advanced Analytics: Utilize Python to handle large datasets and apply modeling techniques such as Loss Distribution Approach (LDA), Regression Modeling, and Scenario Analysis to forecast losses.

• Process Automation: Design and deploy Power Automate flows to streamline data collection from stakeholders (e.g., Scenario Analysis workshops) and automate approval workflows.

• Reporting & Visualization: Build and maintain Power BI dashboards to visualize stress test results and scenario impacts for senior management and the US CCAR Governance team.

Preferred Qualifications:

• 5+ years of experience in stress testing (CCAR/DFAST), operational risk modeling, or capital planning.

• Experience with OSFI (Canada) regulatory requirements is a strong asset, in addition to US Fed requirements.

• Master’s degree in a quant