Data Analysis, Risk Reporting & Governance Specialist (Audit & Regulatory)

TD Bank Group; Ontario; On-site; CAD 91,000 - 137,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Business Management Specialist - Data & Analytics. In this role, you will leverage data for advanced analytics, predictive modeling, and decision-making to enhance risk management. Candidates should have 7+ years of experience, strong skills in Python, SQL, and machine learning, along with an undergraduate degree. This position offers competitive compensation and robust opportunities for career growth.

Benefits

Health and well-being benefits

Career development programs

Variable compensation

Qualifications

• 7+ years of data science/analytics experience required.
• Experience with ML and predictive analytics is essential.
• Understanding of audit methodologies and regulatory frameworks is a plus.

Responsibilities

• Design and implement advanced analytics solutions.
• Perform data-driven decision-making for risk management.
• Develop and deploy statistical and machine learning models.

Skills

Data analysis

Statistical modeling

Machine learning

Predictive analytics

Python

SQL

Power BI

Education

Undergraduate degree or Technical Certificate

Tools

Python

SQL

Power BI

Spark

AWS

Azure

GCP

Job description

Overview

Work Location: Toronto, Ontario, Canada

Hours: 37.5 per week

Line of Business: Business Management, Strategy & Support

Pay Details: $91,200 - $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. The base pay offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter for more details.

Job Description

Department Overview

Building a World-Class, Diverse and Inclusive Technology Team at TD. TD Regulatory, Audit & Compliance Assurance supports all Platform & Technology related Regulatory and support interactions, including 2nd or 3rd Line of Defense examinations. This team provides oversight and governance, challenges high/medium severity issues tied to Regulatory, Audit, and ORM, and supports demand management and assurance functions.

There is room to grow in all of it.

Job Specific Accountabilities

The Business Management Specialist - Data & Analytics role supports the Platforms & Technology Global Security & Defense division in Canada or the United States. The role leverages audit and regulatory findings data to drive advanced analytics, predictive modeling, and data-driven decision-making to enhance risk management and compliance. It strengthens the risk management framework, ensures findings are analyzed rigorously, and enables leaders to make data-driven decisions to improve compliance, control effectiveness, and remediation sustainability.

Key activities include:

• 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; mentor junior data scientists and analysts.
• Data Science & Risk Analytics: Design, build, and deploy statistical and machine learning models to identify patterns, risk concentrations, and trends in audit and regulatory findings; develop predictive analytics to forecast emerging risks; establish quantitative methods for severity scoring and prioritization.
• Audit & Regulatory Data Analysis: Analyze large volumes of findings and remediation data to generate actionable insights for risk committees, regulatory forums, and executive leadership.

• 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 problems and modernization initiatives.
• Perform exploratory and predictive analytics to identify trends, risks, and opportunities.
• Ensure model interpretability, governance, and alignment with ethical and regulatory standards.

• Risk Reporting & Governance: Develop dashboards, scorecards, and executive-level reporting that translate complex findings data into meaningful risk intelligence.
• Collaborate with GRC teams across the 3 lines of defense to strengthen reporting for regulators, auditors, and internal oversight bodies.
• Ensure analytics and reporting adhere to regulatory expectations and risk governance standards (e.g., NIST/ISO).
• Conduct deep-dive analysis and deliver insights through executive-ready dashboards, reports and presentations.
• Create complex BI reporting packages and dashboards using data infrastructure, datamarts, and external data sources.
• Transform complex findings into actionable recommendations that drive measurable outcomes; build and maintain KPIs and metrics monitoring performance, risk, and operational health.

• Data Management & Innovation: Collaborate to optimize data pipelines, metadata management, and data quality for findings repositories; automate recurring analysis and reporting processes; introduce AI/ML techniques (e.g., NLP for findings categorization, clustering for thematic risks) to modernize insights delivery; leverage tools (Python, SQL, Power BI, AI tools) for scalable data analysis; contribute to automation and innovation in data processing, analytics, and visualization.

• Technical Skills & Governance Expertise: Advanced proficiency in Python, R, SQL; experience with big data and cloud platforms (Spark, AWS, Azure, GCP). Experience with ML, predictive analytics, and statistical modeling; expertise in data visualization with Power BI/Tableau; knowledge of audit methodologies and regulatory frameworks; familiarity with Confluence and Atlassian tools; understanding of AI-driven solutions; knowledge of GRC platforms; risk taxonomy familiarity; ability to work autonomously as a senior/lead and mentor others; stay current with AI/ML trends.

• Educational/Certifications: Undergraduate degree or Technical Certificate; 7+ years data science/analytics experience; CRISC/CISA/CISSP certifications or equivalent as a plus; information security/technology risk background; Big Four experience a plus; AI/ML tools knowledge.

Note: This position may include reference to internal tools and platforms; “#Li-Tech” is retained in the source for internal purposes and has been omitted in this refined version.

Who We Are

TD is a leading global financial institution, the fifth largest bank in North America by branches/stores. We serve over 27 million households and businesses globally through more than 95,000 TD colleagues. We are guided by Be the Better Bank and our purpose to enrich customers, communities, and colleagues.

TD is committed to customer experience; all colleagues may be customer-facing. We support ongoing leadership and development through mentorship, training, and programs to help grow your career with TD.

Our Total Rewards Package

TD Total Rewards includes base salary, variable compensation, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and recognition programs.

Additional Information

This job is subject to provincial employment regulations. Regulations may vary by province or territory in Canada.

Colleague Development: Regular career, development, and performance conversations, access to online learning, and mentoring to support growth.

Training & Onboarding: We provide training to ensure you succeed in your role.

Interview Process: We will contact candidates of interest to schedule interviews and strive to communicate outcomes by email or phone.

Accommodation: We offer accommodations to support participation in the interview process.

Language Requirement (Quebec only): Sans Objet