Manager, Financial Crimes- Data Analytics

Overview

At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world.

At KPMG, we don’t just respond to financial crime, we redefine how the industry is managing the risk. Our newly launched National Financial Crimes Centre of Excellence (FC COE) is a bold step forward in the fight against money laundering, corruption, and emerging threats. This is your opportunity to be part of a purpose-driven team that combines cutting‑edge analytics, global insights, and deep regulatory expertise to protect the financial system and build trust in society.

Whether you’re a seasoned compliance analytics professional, a data‑driven problem solver, or a strategic thinker passionate about compliance, the FC COE offers a dynamic platform to innovate, collaborate, and lead. Join us in shaping the future of financial crime prevention, where your impact will be felt across industries, borders, and communities.

Do you want to work in a dynamic and stimulating environment? This offer is for you!

KPMG’s newly established National Financial Crimes Centre of Excellence (FC COE) is seeking professional Consultants and Senior Consultants to help shape the future of our national service offering and grow our high‑performing team.

Based in Vancouver, Greater Toronto Area, Ottawa, or Greater Montreal Area, and connected across Canada, this role offers a dynamic and stimulating environment where innovation, collaboration, and purpose converge. As part of the FC COE, you’ll work with leading experts and cutting‑edge tools to help clients navigate complex financial crime risks and regulatory expectations.

In alignment with laws, regulations, and industry best practices, our team advises clients on a wide range of financial crime matters, including:

• Anti-money laundering
• Economic sanctions
• Anti-tax evasion
• Anti-corruption

As a Manager or Senior Manager, you will have the following responsibilities:

• Coordinate the management and execution of client engagements focused on financial crimes analytics in anti-money laundering (AML), sanctions compliance, anti‑corruption, and anti‑tax evasion.
• Lead a team of financial crime Consultants and Senior Consultants while ensuring that the quality of the team’s deliverables meets KPMG’s standards of excellence and clients’ needs.
• Act as subject matter expert on financial crimes technology and analytics so that we can provide services in compliance with best practices, legal requirements, and the firm’s standards of excellence.
• Collaborate with a diverse range of regulated entities to tackle financial crime issues, including AML and global sanctions, across all three lines of defense. Support Financial Crimes leaders in the financial services sector with analytical and technology‑driven tasks.
• Lead financial crimes compliance analytics initiatives by spearheading the development and implementation of innovative solutions that improve the efficiency and effectiveness of financial crime prevention efforts, thereby establishing a high standard for compliance excellence.
• Lead the design, validation, review, optimization, and audit across various financial crimes models (AML TM, sanctions, customer risk), including statistical, machine‑learning, and artificial‑intelligence models for traditional financial institutions, correspondent banks, insurance providers, brokerages, Fin Techs, online marketplaces and Money Service Businesses (MSBs) regulated by the OSFI, FINTRAC, OCC, Federal Reserve, and the New York DFS.
• Lead model tuning, segmentation, and threshold calibration activities to improve detection accuracy and reduce false positives.
• Lead data analysis and remediation efforts, including data mapping, cleansing, and validation to support system implementation and regulatory reporting.
• Serve as a subject matter expert in projects aimed at enhancing compliance programs by utilizing data analytics and advanced technologies to mitigate risks and streamline processes. Conduct data analytics to test and validate financial crime systems and models using SQL, Python, R, and other…