Data Analysis, Risk Reporting & Governance Specialist; Audit & Regulatory

Position: Data Analysis, Risk Reporting & Governance Specialist (Audit & Regulatory)
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* Work Location:

** Toronto, Ontario, Canada
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* Hours:

** 37.5
** Line of Business:
** Business Management, Strategy & Support
** Pay Details:**$91,200 - $136,800 CADTD 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.
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* Job Description:

**** Department Overview
** Building a World-Class, Diverse and Inclusive Technology Team at TD  We can't afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD's technology and business teams become more intertwined as new opportunities present themselves.

This new era in banking does not equal boring. Not at TD, anyway.

TD Regulatory, Audit & Compliance Assurance is home to a team of highly valued professionals, who support all Platform & Technology (P&T) related Regulatory and support interactions, which includes business, 2nd, or 3rd LOD led exams. They provide oversight and governance, independently challenging High / Med severity issues tied to Regulatory, Audit and ORM. Includes issue escalations tied to potential overdue and validation failures, issue support for insight, governance reporting and exams.

Also, provides demand management support assurance functions.

There's room to grow in all of it.
** Job Specific Accountabilities
** The Business Management Specialist – Data & Analytics role is to support its Platforms & Technology Global Security & Defense division in Canada or the United States. This role focuses on leveraging audit and regulatory findings data to drive advanced analytics, predictive modeling, and data-driven decision-making to enhance risk management and compliance.  This role will be central to strengthening our risk management framework, ensuring findings are analysed with rigor, and enabling leaders to make data driven decisions that enhance compliance, control effectiveness, and sustainability of remediation.

Here's some of what you may be asked to perform:

Data Strategy & Leadership:
* Partner with the Data Manager to define and execute the Assurance Governance Oversight data strategy.
* Lead the design and implementation of advanced analytics solutions aligned to business priorities.
* Mentor and guide junior data scientists and analysts, fostering a culture of analytical excellence.
* Data Science & Risk Analytics:
* Design, build, and deploy statistical and machine learning models to identify patterns, risk concentrations, and trends within audit and regulatory findings.
* Develop predictive analytics to forecast emerging risks, remediation delays, or control failures.
* Establish quantitative methods for severity scoring, risk-weighting, and prioritization of findings.
* Audit & Regulatory Data Analysis:
* Analyze large volumes of findings and remediation data to generate actionable insights for risk committees, regulatory forums, and executive leadership.
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* Job Description:

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* ** The role centers on leveraging audit and regulatory findings data to drive advanced analytics, predictive modeling, and data-driven decision-making to strengthen risk management and compliance in the Platforms & Technology Global Security & Defense division in Canada
*** Perform root cause analysis across findings to identify systemic issues and control design weaknesses.
* Support sustainability assessments of remediated findings through data-driven testing and metrics.
* Develop and deploy statistical, machine learning and AI models to solve complex business…