Job Location : Philadelphia,PA, USA
Large retail bank located in either Malvern, PA looking to bring on board a “ Director Of Business Intelligence & Analytics - AML ” to join their team. The role is on a hybrid schedule, in office 3 days a week.
Responsibilities:
-Develop and execute a data analytics strategy that supports the organization's AML compliance objectives. Establish best practices for collecting, analyzing, and interpreting data related to financial crimes and customer behavior.
-Design and maintain real-time dashboards and reports that provide actionable insights into AML risks and program effectiveness. -Deliver insights to senior management, the Board, and relevant stakeholders regarding emerging trends, key risk indicators (KRIs), and program performance.
-Collaborate with AML and compliance teams to develop data-driven approaches to optimize transaction monitoring scenarios and alerts, reducing false positives and enhancing detection of suspicious activities.
-Leverage predictive analytics, machine learning, and artificial intelligence to anticipate and identify potential AML risks and patterns. Develop models to forecast high-risk activities, transactions, or customer profiles.
-Perform regular data-driven AML risk assessments to identify areas of heightened financial crime risk. Analyze trends in transactional data, customer behavior, and external threats to proactively mitigate risk.
-Ensure that all business analytics processes and outputs comply with regulatory requirements, including data governance, privacy, and security standards. Ensure timely and accurate reporting to regulatory bodies such as FinCEN or OFAC, as necessary.
-Work closely with compliance, risk, and IT departments to align data analytics initiatives with broader AML program goals. Collaborate with the AML transaction monitoring and sanctions teams to ensure data accuracy and completeness in reporting.
-Oversee the selection and implementation of analytics tools, software, and platforms for AML data analysis. Stay current with industry trends and technologies in data analytics, machine learning, and compliance tech.