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Quantitative Scenario Analyst Anti - Money Laundering (AML)
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Full-time
- Global Financial Crimes Automated Detection & Monitoring team seeks a Quantitative Scenario Analyst – Anti-Money Laundering (AML) to conduct independent testing and review of complex models used to monitor and mitigate money laundering risk.
- The Role will interact with a wide variety of stakeholders including Financial Crimes Investigations, business risk managers, model developers, model risk management, model implementation, and technology teams.
- Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
- Communicating model performance to model stakeholders, including risk management, model development, model risk, and senior management with clear conclusions regarding accuracy and remediation areas as required
- Acts as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering.
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