Role Description
This 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-testing
• Execute BSA AML transaction monitoring scenario and OFAC threshold tuning based on the clients'
methodology documentation
• Testing that the model logic is working as intended
• Evaluation of model performance, including tuning and sanctions sensitivity testing
• Engagement 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 executive.
Qualifications
• Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance;
Computer Science, Management Information Systems, or Statistics/Mathematics.
• Extensive 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 expectations.
• Effective project and time management, collaboration, and communication skill 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 regulators.
• Strong understanding of banking regulations FRB, OCC, FDIC, NYDFS
• Proficiency in Business Process and Business Requirements Analysis
• Strong Business Analysis skills
• Strong organizational, interpersonal, and presentation skills.
• Strong teamwork, communication, and customer service skills.
• Strong analytical, attention to detail, organizational, and core project management skills.
• Possesses knowledge of the challenges of data cleansing and integration.
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