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 quality Develop, enhance, tune, and implement AML detection models Assess model performance, scenario coverage, data quality, and optimisation Translate analytical findings into executive-level business recommendations Coach teams and contribute to practice growth initiatives Requirements:
Strong AML or financial crime analytics experience Experience across Transaction Monitoring, Name Screening, or Customer Risk Rating Knowledge of scenarios, thresholds, segmentation, risk factors, and optimisation Experience with SQL, Python, PySpark, or similar analytical technologies Degree in analytics, data science, computer science, or related discipline Bring AML modelling, analytical problem-solving, and stakeholder leadership to PwC’s financial crime analytics practice.
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AML Analytics Manager Financial Crime in Toronto employer: PricewaterhouseCoopers LLP
PricewaterhouseCoopers LLP offers a dynamic work environment that fosters professional growth through diverse career opportunities in areas such as financial crime advisory, cybersecurity, and tax consulting. Employees benefit from engaging in meaningful projects that impact leading companies and governments, while also receiving support for continuous learning and development. The company's collaborative culture encourages teamwork and innovation, making it an attractive place for professionals seeking to advance their careers.
Contact Details:
PricewaterhouseCoopers LLP Recruitment Team
