Data Analysis, Risk Reporting & Governance Specialist; Audit & Regulatory
Job in
Toronto, Ontario, M5A, Canada
Listing for:
The Toronto-Dominion Bank (Canada)
Full Time
position
Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Data Security
Job Description & How to Apply Below
Position: Data Analysis, Risk Reporting & Governance Specialist (Audit & Regulatory)
Description
:
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 CanadaPerform 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 problems and modernization initiativesPerform exploratory and predictive analytics to identify trends, risks and opportunitiesEnsure model interpretability, governance, and alignment with ethical and regulatory standardsRisk Reporting & Governance:
The role develops dashboards, scorecards, and executive-level reporting that translate complex findings data into meaningful risk intelligence, and collaborates with GRC teams to bolster reporting for regulators and internal oversight, ensuring alignment with regulatory and risk frameworksCollaborate with GRC (Governance, Risk & Compliance) teams across the 3 lines of defense areas to strengthen reporting for regulators, auditors, and internal oversight bodies.Ensure all analytics and reporting adhere to regulatory expectations, NIST/ISO frameworks, and risk governance standards.Conduct deep-dive analysis and deliver insights through clear, executive-ready dashboards, reports and presentationsCreate complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sourcesTransform complex findings into actionable recommendations that drive measurable outcomesBuild and maintain KPIs and metrics that monitor performance, risk , and operational health.Data Management & Innovation:
Collaborate with applicable corporate partners to optimize data pipelines, metadata management, and data quality for findings repositories.Automate recurring analysis and reporting processes to increase efficiency and accuracy.Introduce advanced AI/ML techniques (e.g., NLP for findings categorization, clustering for thematic risks) to modernize insights delivery.Leverage modern tools and platforms (e.g. Python, SQL, Power BI, Co-Pilot AI, etc) for scalable data analysisContribute to automation and innovation in data processing, analytics, and visualizationTechnical Skills and Risks & Governance Expertise:
An undergraduate degree or technical certificate is required, and certifications such as CRISC / CISA as well as experience in information security, cyber security, technology riskAdvanced proficiency in Python, R, SQL; familiarity with big data and cloud platforms (Spark, AWS, Azure, GOP).Experience with machine learning, predictive analytics, and statistical modeling applied to risk or audit dataExpertise in data visualization and storytelling using Power BI, Tableau or equivalent.Knowledge of audit methodologies, regulatory frameworks (e.g., OCC, Fed, Basel, SOX, NIST, ISO 27001), and issue management practicesProficiency in Atlassian Confluence, including a strong understanding of spaces, templates, macros, and permissions. Develop web applications and user interfaces using React, HTML, and CSS, ensuring a responsive and seamless user experience. Integrate Confluence with other Atlassian products and third-party applications as needed for seamless workflow.Knowledgeable in Artificial Intelligence to lead the design, development and deployment of AI-driven solutions that enhance business operations, decision-making, and innovation.Experience with GRC platforms (e.g., Archer, Serivce Now, Metric Stream) a strong plusUnderstanding of risk taxonomies, KRIs and control effectiveness measures.Risk Mindset:
Anticipates and quantifies risks to support proactive mitigation.Data Storytelling:
Translates technical analysis into clear, concise narratives for executives and regulators.Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate othersStay current with the latest research and trends in AI/ML and recommend…
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