Intern, Assurance & Advisory (Data Analytics)

CPP Investments | Investissements RPC•Toronto, ON

2d•Onsite

About The Position

CPP Investments is seeking an Intern to join the internal audit team, Assurance & Advisory (“A&A”), for a four-month term starting September 2026, based in our Toronto office. The A&A team provides independent assurance over the adequacy and effectiveness of CPP Investments’ governance, risk management, and internal controls. The team performs audits and advisory engagements across the organization, including Public Markets, Private Markets, and Technology & Operations, with results reported regularly to Management, senior executives, and the Audit Committee. As part of the team, interns contribute directly to audit engagements while gaining an enterprise-wide perspective across a global investment organization. This role supports A&A’s continued evolution toward more data-enabled assurance, using technology and analytics to enhance risk identification, testing coverage, and insight generation.

Requirements

Candidates pursuing an undergraduate degree in a quantitative or analytical discipline such as analytics, data science, computer science, engineering, accounting, or finance, and returning to school in Winter of 2027.
Demonstrates a strong interest in governance, risk management, and assurance, and an eagerness to learn how data and technology can enhance these areas.
Experience applying Python, Tableau, and Excel to analyze and validate data, automate routine tasks, visualize data, and support insight generation in academic or project-based settings.
Contributes analytical thinking and professional skepticism when evaluating risks, controls, and business processes.
Supports the preparation of clear, accurate documentation aligned with established audit methodologies and standards.
Communicates effectively with team members and managers, asks thoughtful questions, and incorporates feedback into assigned work.
Willingness to collaborate with colleagues and business partners to support audit delivery and team objectives.
Demonstrate integrity, partnership, and a commitment to high performance.

Nice To Haves

Exposure or hands-on experience with cloud platforms such as Azure, AWS, or Snowflake is an asset.
Hands-on experience with AI platforms such as Copilot, ChatGPT, Gemini, or related programs is an asset.

Responsibilities

Support the planning and execution of audit engagements, including control testing and business process documentation.
Aggregate, clean, and analyze data from multiple sources to support audit testing and risk assessment.
Use programming and analytical techniques to enable full population-level testing and identify trends, anomalies, or risk indicators.
Apply data science and automation techniques to optimize risk-based audit planning, testing, and reporting.
Evaluate opportunities to deploy Generative AI (GenAI), Copilot, and similar AI-assisted tools to accelerate insight generation and knowledge management.
Assist in identifying, collecting, and validating audit evidence and supporting documentation
Translate analytical findings into clear insights and visualizations to support audit conclusions and management discussions.
Document work and testing results clearly and accurately in accordance with established audit methodology.
Collaborate with team members and business partners to understand business context, risks, and data sources.
Identify opportunities to improve the efficiency and effectiveness of audit testing through automation or process enhancements.