Leverages advanced data analytics, automation, artificial intelligence (AI), and emerging technologies to enhance audit effectiveness, efficiency, and risk coverage. Designs and develops analytics solutions that support audit planning, testing, continuous monitoring, and reporting. Analyzes large volumes of structured and unstructured data to identify risks, anomalies, trends, and control weaknesses. Collaborates with audit teams, business partners, and technology stakeholders to deliver data-driven insights that strengthen risk management, governance, and regulatory compliance.

Key Accountabilities

Develops and executes data analytics, automation, and AI-enabled solutions to support all phases of the audit lifecycle, including planning, fieldwork, reporting, and issue validation.

Performs data extraction, transformation, and analysis from multiple internal systems to identify risk indicators, control exceptions, and operational inefficiencies.

Designs and maintains audit dashboards, monitoring tools, and repeatable analytics that enhance audit coverage and productivity.

Applies statistical techniques, machine learning, and advanced analytical methods to detect anomalies, emerging risks, and trends across business processes.

Evaluates and implements innovative technologies and analytical approaches to improve audit testing, continuous auditing, and assurance activities.

Partners with audit teams and stakeholders to understand audit objectives and deliver meaningful, data-driven insights and recommendations.

Provides analytical support for regulatory, compliance, operational, technology, cybersecurity, and financial audits.

Translates complex analytical findings into clear and actionable insights for audit management and business stakeholders.

Exercises judgment to identify, assess, and solve complex data and risk-related issues while adhering to audit standards and methodologies.

Works independently on multiple projects, balancing competing priorities and tight timelines.

Supports the development of audit analytics best practices, knowledge sharing, and continuous improvement initiatives across the department.





Takes measured risks while protecting the Bank by applying the Risk Management Framework in the execution of responsibilities, making sound and risk-informed decisions aligned with business strategy, policies, standards, laws, and regulations.

Qualifications
Foundational Level of Proficiency

Data analytics and visualization

Artificial Intelligence and Generative AI

Data governance, privacy, and ethics

Critical thinking

Risk and control concepts

Creative problem solving

Intermediate Level of Proficiency

Audit methodology and internal controls

SQL, Python, SAS, R, or other analytical programming languages

Data extraction, transformation, and validation

Statistical analysis and machine learning

Dashboard development (Power BI, Tableau, etc.)

Data wrangling and data quality assessment

Automation and process improvement

Technology and cybersecurity risk concepts

Analytical reasoning and problem solving

Written and verbal communication skills

Stakeholder management and influence skills

Collaboration and teamwork

Project management and prioritization

Risk-based decision making

Experience

Typically 4-6 years of experience in audit analytics, data analytics, internal audit, risk management, or a related discipline.

Post-secondary degree in Data Analytics, Computer Science, Information Systems, Statistics, Accounting, Finance, Mathematics, or a related field.

Experience supporting audits through data analysis, automation, continuous monitoring, or AI-enabled solutions.

Technical proficiency gained through education and/or practical business experience.

This version aligns more closely with an Internal Audit Analytics & Innovation team supporting Technology, Operations, Cybersecurity,



and enterprise audits.

Salary
$67,200.00 - $124,200.00

Pay Type
Salaried

The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part‑time roles will be pro‑rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance‑based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our perks, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in‑depth training and coaching, to manager support and network‑building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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📌 Audit Analyst Data Scientist (Ontario)
🏢 BMO
📍 Ontario