TD
Information Security Specialist (Vulnerability Management Data Insights & Reporting )
Toronto, Ontario
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hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $96,900 – $136,800 per year
- Country
- CA
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Technology Solutions
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 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.
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:
About This Role
TD's Enterprise Vulnerability Management (EVM) team is looking for a Vulnerability Data & Reporting Specialist to serve as a trusted analytics and reporting partner within the Vulnerability Management Governance team. This role will convert high-volume vulnerability and remediation data into clear, defensible insights that help senior leaders understand risk exposure, remediation performance, emerging trends, and areas requiring action.
The successful candidate will own and enhance executive risk reporting, including Key Risk Indicators (KRIs), and operational performance reporting, including Key Performance Indicators (KPIs) and provide key insights into the underlying data. The role requires strong analytical judgment, vulnerability management knowledge, executive communication skills, and the technical capability to retrieve, validate, transform, and analyze data from ServiceNow Security Operations and other vulnerability data sources.
This is not primarily a vulnerability scanning or platform-development role. Its focus is establishing trusted reporting, identifying what the data means, explaining why results are changing, and translating the analysis into practical actions for executives, governance forums, and remediation owners.
Here's some of what you may be asked to perform:
- · Analysis of executive vulnerability risk reporting and operational performance reporting outputs, scorecards, dashboards, and governance materials.
- · Analyze vulnerability inventories across infrastructure, application, container, API, and AI assets for aging, severity, exploitability, asset criticality, exposure, remediation type, SLA performance, exceptions, reopen rates, recurrence, and other factors to identify material trends and control gaps.
- · Translate complex data into concise executive commentary that explains what changed, why it changed, the associated risk, what’s preventing remediation, and the executive action or decision required.
- · Perform trend, root-cause, cohort, variance, and segmentation analysis across infrastructure, applications, cloud, containers, APIs, and other relevant technology environments.
- · Identify emerging remediation risks, reporting anomalies, performance deterioration, and data-quality issues before they affect executive or regulatory reporting.
- · Develop and maintain metric definitions, calculation logic, thresholds, business rules, data lineage, reconciliation controls, and supporting documentation so reporting is consistent, repeatable, and audit-ready.
- · Validate the completeness, accuracy, timeliness, and consistency of vulnerability data across source systems, ServiceNow records, extracts, reports, and dashboards; investigate and resolve discrepancies with data and platform owners.
- · Use ServiceNow Security Operations, particularly Vulnerability Response, related CMDB and remediation data, and platform reporting capabilities to develop and validate vulnerability insights.
- · Extract and transform large data sets using approved methods such as REST APIs, scheduled exports, SQL or query tools, Python, PowerShell, or equivalent technologies when analysis cannot be performed efficiently within the source platform.
- · Build and enhance analytical products using tools such as Power BI, Excel, ServiceNow Performance Analytics, or equivalent enterprise reporting platforms.
- · Partner with vulnerability and patch management, application security, engineering teams, technology owners, risk partners, and data teams to interpret results and drive accountable remediation actions.
- · Prepare reporting and analysis for senior management, risk committees, audit, and regulatory stakeholders, ensuring conclusions are evidence-based and appropriately qualified.
- · Assess proposed metric or reporting changes for unintended impacts, including changes to source coverage, data quality, historical comparability, thresholds, and management interpretation.
- · Automate recurring data preparation, reconciliation, and quality checks to improve reporting reliability, timeliness, and scalability.
- · Contribute to continuous improvement of vulnerability governance, reporting standards, data controls, and analytical methods.
- · Provide data analysis and reporting support to respond to internal audit, regulatory, or risk partner requests in a timely manner.
Required Qualifications and Experience
- · University degree or equivalent practical experience in information security, computer science, data analytics, information systems, engineering, or a related discipline.
- · 7+ years of relevant experience in information security, vulnerability management, cyber risk reporting, security data analytics, business intelligence, or a comparable technical risk function.
- · Strong understanding of vulnerability management concepts, including discovery, prioritization, remediation, exceptions, aging, service levels, asset criticality, exploitability, exposure, and risk-based decision-making.
- · Hands-on experience analyzing large, complex data sets and converting results into actionable findings, management commentary, and defensible conclusions.
- · Working knowledge of ServiceNow Security Operations and Vulnerability Response, including vulnerable items, remediation tasks or groups, integrations, CMDB relationships, workflows, and reporting data.
- · Advanced proficiency with analytical and visualization tools such as Power BI and Excel, including data modeling, trend analysis, reconciliation, and dashboard design.
- · Ability to retrieve and manipulate data using one or more technical methods such as REST APIs, SQL, Python, PowerShell, ServiceNow queries, or equivalent tools.
- · Ability to identify data-quality issues, document calculation logic and lineage, reconcile results across systems, and maintain appropriate evidence and controls.
- · Exceptional written and verbal communication skills, with demonstrated ability to explain complex technical and quantitative information in clear executive language.
- · Experience developing and governing KRIs, KPIs, dashboards, scorecards, or other risk and performance reporting for senior leadership is a plus.
- · Strong judgment, attention to detail, intellectual curiosity, and the ability to challenge results constructively when the data does not support the expected conclusion.
- · Demonstrated ability to manage recurring reporting commitments and ad hoc executive requests in a high-volume environment while maintaining accuracy and control discipline.
Preferred Qualifications
- · Experience in a large, regulated financial institution or similarly complex enterprise environment.
- · Experience with ServiceNow Performance Analytics, ServiceNow reporting, CMDB data, data exports, Integration Hub, or ServiceNow REST APIs.
- · Experience with vulnerability data from tools such as Qualys, Tenable, Rapid7, Snyk, Veracode, Wiz, or equivalent infrastructure, application, cloud, container, and API security platforms.
- · Experience with data transformation and automation technologies such as Power Query, DAX, SQL, Python
Listed on hirly, a job board. hirly is not the employer: TD is hiring for this role.
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