Senior Manager, Financial Crimes- Data Analytics

Overview

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

• Coordinate and execute 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, ensuring the quality of deliverables meets KPMG’s standards and client needs.
• Act as a subject‑matter expert on financial crimes technology and analytics to provide services that align with best practices, legal requirements, and firm standards.
• Collaborate with regulated entities to tackle financial crime issues, including AML and global sanctions across all three lines of defense.
• Lead compliance analytics initiatives, spearheading the development and implementation of innovative solutions that improve the efficiency and effectiveness of financial crime prevention.
• Design, validate, review, optimize, and audit financial crimes models (AML TM, sanctions, customer risk, etc.) using statistical, machine‑learning, and artificial‑intelligence methods for a range of regulated institutions.
• Lead model tuning, segmentation, and threshold calibration to improve detection accuracy and reduce false positives.
• Lead data analysis and remediation efforts, including mapping, cleansing, and validation to support system implementation and regulatory reporting.
• Utilize data analytics and advanced technologies to enhance compliance programs, testing, and validation of financial crime systems using SQL, Python, R, and other languages.
• Develop assets that employ advanced analytical tools, including intelligent automation and large language models, as part of anti‑financial crime initiatives.
• Manage engagement risks, oversee specific components of engagements, supervise staff teams, and provide guidance and training to team members.
• Support clients with technical risk and control reviews, ensuring projects align with regulatory requirements and industry best practices.
• Collaborate with cross‑functional teams across KPMG’s national and global network to deliver integrated solutions and thought leadership.
• Mentor and develop junior team members, fostering a culture of excellence, inclusion, and continuous learning.

• Minimum of 8+ years in financial crimes compliance, including AML, global sanctions, anti‑bribery and corruption (ABC), or model risk management in the financial or professional services sectors.
• Bachelor’s degree in business administration, finance, accounting, economics, engineering, data science, computer science, information systems, statistics, math, or related quantitative field.
• Master’s degree (MS or MBA) considered an asset.
• Comprehensive understanding of prevalent money‑laundering schemes and regulatory frameworks surrounding AML and sanctions, especially FINTRAC, OSFI, OCC, OFAC, and FinCEN.
• Experience with transaction monitoring and KYC vendor solutions, and sanctions screening solutions.
• Proficiency in data engineering, analytical research, statistical sampling, and database management tools such as SQL, R, Python, or similar technologies.
• Experience evaluating and enhancing financial crimes compliance programs, including internal audits, compliance testing, model validations, and vendor solutions.
• Strong interpersonal skills and ability to meet team and business needs; experience in auditing, testing, or quality assurance of AML/OFAC controls is essential.
• Excellent writing skills across reports and presentations, and strong proficiency in Microsoft Excel and PowerPoint.
• Extensive knowledge of monitoring and assessment technologies available on the market for assessing…