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. What You Will Do 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. What You Bring To The Role 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 money‑laundering risk. Experience leading system tuning, threshold calibration, and segmentation techniques to support model optimization. Understanding of laws, regulations, and best practices addressing financial crimes. Knowledge of banking, insurance, asset management products and services, and existing market technologies. Excellent communication and presentation skills in English, with the ability to present complex strategic topics to stakeholders located in English‑speaking regions of Canada. Providing you with the support you need to be at your best KPMG is committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. Adjustments (informal requests, such as extra preparation time or micro breaks during interviews) and accommodations (formal requests, such as accessible communication supports or technology aids) are tailored to individual needs and role requirements. You can request an adjustment or accommodation at any point throughout the recruitment process. If you require support, contact KPMG’s Employee Relations Service team at 1‑888‑466‑4778. Our Values, The KPMG Way Integrity , we do what is right | Excellence , we never stop learning and improving | Courage , we think and act boldly | Together , we respect each other and draw strength from our differences | For Better , we do what matters KPMG in Canada is a proud equal‑opportunity employer and is committed to creating a respectful, inclusive, and barrier‑free workplace that allows all employees to reach their full potential. We welcome all qualified candidates and hope you will choose KPMG as your employer of choice. Seniority level Not Applicable Employment type Full‑time Job function Information Technology #J-18808-Ljbffr