Shape financial crime detection through AML models, large datasets, and analytical strategy at PwC as an experienced Manager. This Manager leads AML Analytics projects and multidisciplinary teams while applying robust data and analytical expertise. You will evaluate model performance, scenario coverage, data quality, and optimisation opportunities across Transaction Monitoring, Name Screening, and Customer Risk Rating. Client advisory and senior stakeholder communication are central to the work.

Key Responsibilities
Lead development and implementation of AML models
Evaluate detection scenarios, thresholds, segmentation, and risk factors
Identify opportunities to optimise model performance and data quality
Advise clients on analytics strategy and transformation roadmaps




Communicate technical recommendations to senior audiences Requirements:
Experience leading AML analytics or model transformation projects
Robust analytical and problem-solving skills with complex datasets
Experience developing or tuning TM, NS, or CRR models
Solid understanding of AML regulatory expectations and financial crime risks
Relevant AML certifications such as CAMS are an asset Use financial crime analytics, model performance expertise, and data skills to improve detection strategies for PwC clients.

📌 Financial Crime Data Analytics Manager Toronto
🏢 Pricewaterhousecoopers
📍 Toronto