Risk Services (Non-CPA) - Forensic Financial Crimes Intern/Co-op - Toronto - Winter, Summer or Fall 2027

KPMG Canada•Toronto, ON

6d•Onsite

About The Position

Our Toronto office is seeking undergraduate students to join the team as a Co-op or Summer Intern in Winter 2027, Summer 2027 or Fall 2027 as a part of our Risk Services, Forensic Financial Crimes practice. When applying, please select either "Summer Internship" or "Co-op" as your preferred position and indicate Winter 2027, Summer 2027, or Fall 2027 as your preferred start date for potential employment. Within our National Financial Crimes Centre of Excellence (FC COE), we help organizations manage financial crime risk by combining regulatory expertise, data analytics, and innovative technology solutions. Our team supports financial institutions and other regulated entities in navigating anti-money laundering (AML), sanctions, anti-corruption, and broader financial crime requirements. As an Intern/Co-op student in Financial Crimes, you will gain hands-on exposure to client engagements while working alongside experienced professionals in a collaborative and purpose-driven environment. You will support the delivery of financial crime engagements and contribute to client projects focused on strengthening compliance programs, systems, and analytics capabilities.

Requirements

A strong academic record in engineering, mathematics, data science, computer science, business, finance, accounting, economics, criminology, or a related field.
An interest in financial crime, including AML, sanctions, fraud, anti-corruption, or regulatory compliance.
Curiosity about how data and technology can support risk management and compliance efforts.
Foundational analytical skills and experience working with data (e.g., SQL, Python, R, or similar tools) through coursework or projects (considered an asset).
An interest in financial services and regulated industries (considered an asset).
Strong written and verbal communication skills.
Attention to detail, initiative, and a willingness to learn.
The ability to work effectively in a team environment.
You have a strong academic record and demonstrate intellectual curiosity through coursework, projects, or extracurricular involvement.
You build collaborative relationships: You establish strong relationships internally and externally and contribute positively to team-based environments. You respect diverse perspectives and work effectively across functions.
You develop and motivate others: You engage peers with enthusiasm, contribute ideas confidently, and create a positive team dynamic that supports shared success.
You take opportunities to learn and adapt: You actively seek feedback, reflect on experiences, and embrace new tools, technologies, and regulatory developments as part of your professional growth.
You drive quality: You deliver accurate, thoughtful, and well-documented work, demonstrating attention to detail and a commitment to excellence in all tasks.
You foster innovation: You are open to experimentation and continuous improvement, showing curiosity about how analytics, automation, and emerging technologies can enhance financial crime risk management.
All considered applicants must have or will obtain legal authorization to work in Canada by the start date of employment.

Nice To Haves

Familiarity with AI‑enabled tools or analytics platforms is considered an asset, along with comfort in leveraging AI to enhance efficiency, generate insights, or support problem‑solving, and a demonstrated interest in how these technologies can be applied in professional settings.

Responsibilities

Gain exposure to financial crime engagements across AML, sanctions, and regulatory compliance initiatives.
Develop technical and analytical skills through hands-on experience with data-driven tools and methodologies.
Strengthen your problem-solving, communication, and teamwork skills in a fast-paced environment.
Learn how regulatory expectations translate into practical risk management solutions for clients.
Supporting client engagements related to AML, sanctions, anti-corruption, and broader financial crime risk management initiatives.
Assisting with data analysis activities, including reviewing datasets, performing validation checks, identifying trends, and summarizing findings using tools such as SQL, Python, or other analytical platforms.
Supporting transaction monitoring reviews, model validation, and system testing activities by documenting observations and testing results.
Contributing to data mapping, cleansing, and remediation efforts to improve data quality and reporting processes.
Assisting in the preparation of client deliverables, including reports, presentations, dashboards, and working papers.
Conducting research on emerging financial crime trends and regulatory developments (e.g., FINTRAC, OSFI).
Collaborating with cross-functional teams including compliance, technology, data, and risk specialists.