Role DescriptionThis is a contract role for a BSA AML Model Validation and Tuning specialist. The role involves day-to-day tasks related to validating and tuning thresholds of BSA AML models to ensure compliance and effectiveness.Testing of data inputs, including data quality issues, data mapping, ETL processes, balancing and reconciliation controls, data lineage, throughput, and back-testingExecute BSA AML transaction monitoring scenario and OFAC threshold tuning based on the clients' methodology documentationTesting that the model logic is working as intendedEvaluation of model performance, including tuning and sanctions sensitivity testingEngagement Management: provide oversight and guidance to the testing team for efficient engagement delivery, maintain engagement budget, provide timely reporting of engagement progress to the client and engagement executiveQualificationsBachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/MathematicsExtensive experience leading or facilitating AML/BSA reviews, compliance advisory engagements, or internal audits for globally diversified financial institutions. Alternatively, 8+ years of hands-on experience in model validation, AML system implementation, data lineage analysis, or data quality testing in alignment with SR 11-7 regulatory expectationsEffective project and time management, collaboration, and communication skills with all levels of the organization, including excellent organizational skills and experience monitoring deadlines and tracking documentation for timely submission to senior management and/or regulatorsStrong understanding of banking regulations FRB, OCC, FDIC, NYDFSProficiency in Business Process and Business Requirements AnalysisStrong Business Analysis skillsStrong organizational, interpersonal, and presentation skillsStrong teamwork, communication, and customer service skillsStrong analytical, attention to detail, organizational, and core project management skillsPossesses knowledge of the challenges of data cleansing and integration