Audit Analyst Data Scientist

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.

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.