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 strong 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
- Solid analytical and problem-solving skills with complex datasets
- Experience developing or tuning TM, NS, or CRR models
- Strong 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