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 modelsEvaluate detection scenarios, thresholds, segmentation,



and risk factorsIdentify opportunities to optimise model performance and data qualityAdvise clients on analytics strategy and transformation roadmapsCommunicate technical recommendations to senior audiencesRequirements:

Experience leading AML analytics or model transformation projectsStrong analytical and problem-solving skills with complex datasetsExperience developing or tuning TM, NS, or CRR modelsStrong understanding of AML regulatory expectations and financial crime risksRelevant AML certifications such as CAMS are an assetUse financial crime analytics, model performance expertise, and data skills to improve detection strategies for PwC clients.

📌 Financial Crime Data Analytics Manager (Winnipeg)
🏢 PricewaterhouseCoopers
📍 Winnipeg