Senior Manager, Audit Analytics & Data Services

RBC•Toronto, ON

2d•Onsite

About The Position

As a Senior Audit Analytics Manager within the CAE Group, you will play a pivotal role in strengthening the Internal Audit program by embedding data analytics into audit planning, execution, and reporting. You will collaborate closely with auditors, data stewards, and business partners across the enterprise to deliver insights that enhance the effectiveness and efficiency of audits focused all risks stripes. This is a high-impact role within an innovative and growing function that supports RBC’s purpose of helping clients thrive and communities prosper – by ensuring the bank’s operations are safe, secure, and aligned to regulatory expectations.

Requirements

University degree in a quantitative or analytical discipline (e.g. Computer Science, Data Science, Statistics, Engineering, Finance, Economics).
Minimum 6-10 years of experience in audit analytics, risk analytics, or related data analysis roles, ideally in a financial institution.
Advanced proficiency with SQL and strong working knowledge of data querying across structured and unstructured sources.
Hands-on experience with tools such as GenAI, LLMs, Python, R and Tableau for data wrangling, statistical analysis and visual reporting.
Familiarity with internal audit practices, control frameworks, and data-driven assurance methodologies.

Responsibilities

Partner with Audit teams to define analytic approaches that support risk identification and intelligent control testing.
Access, extract, and analyze data from an wide array of enterprise systems such as transaction monitoring, client onboarding, credit related systems and case management platforms etc.
Design and execute analytics that identify anomalies, trends, or emerging risks.
Automate repetitive testing activities to improve audit coverage and consistency across lines of business.
Present complex data findings in a clear and compelling manner using visualization tools to support audit narratives and senior leadership discussions.
Ensure all analytics work is well-documented, repeatable, and aligned with internal audit standards and regulatory expectations.
Build strong relationships with key business stakeholders, audit teams and other data and analytics teams within the CAE group.
Contribute to the continued development of scalable analytics for use across internal audit.