Lead AML analytics, model optimisation, and client delivery as a Manager at PwC, applying SQL, Python, or PySpark to complex datasets.
As an AML Analytics Manager, you will manage end-to-end projects across Transaction Monitoring, Name Screening, and Customer Risk Rating. You will advise clients on analytics strategy, model enhancements, and technology transformation. The role combines financial crime expertise with team leadership and executive communication.

Key Responsibilities

Lead AML analytics project planning, delivery, economics, and qualityDevelop, enhance, tune, and implement AML detection modelsAssess model performance, scenario coverage, data quality,



and optimisationTranslate analytical findings into executive-level business recommendationsCoach teams and contribute to practice growth initiativesRequirements:
Robust AML or financial crime analytics experienceExperience across Transaction Monitoring, Name Screening, or Customer Risk RatingKnowledge of scenarios, thresholds, segmentation, risk factors, and optimisationExperience with SQL, Python, PySpark, or similar analytical technologiesDegree in analytics, data science, computer science, or related disciplineBring AML modelling, analytical problem-solving, and stakeholder leadership to PwC’s financial crime analytics practice.
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📌 Aml Analytics Manager Financial Crime (Winnipeg)
🏢 PricewaterhouseCoopers
📍 Winnipeg