GFC Manager

GFC Manager - FIU DetectionThis job is responsible for executing substantive money laundering, economic sanctions, and fraud compliance and operational risk practices. Key responsibilities include working directly or through compliance officers for the Front Line Units (FLUs) and Control Functions (CFs) to complete compliance, policy, and operational/fraud risk management requirements.Responsibilities:Develop and maintain financial crime risk scoring methodologies across customers, transactions, and products.Translate typologies and regulatory requirements into quantitative scoring logic aligned to enterprise risk appetite.Build, calibrate, and tune scoring models to ensure accuracy, explainability, and operational effectiveness.Partner with data science and technology teams to integrate scoring frameworks into detection and monitoring systems.Monitor and optimize model performance, conducting back-testing and threshold adjustments as risks evolve.Support model governance by documenting design, validation, and change management processes.Collaborate with investigations and intelligence teams to assess alert quality and score effectiveness.Provide expert guidance on scoring principles, model performance metrics, and quantitative risk management.Required Qualifications:Minimum 7 years of experienceDeep expertise in financial crime detection frameworks, including transaction monitoring, alert generation, and risk scoring methodologies.Proven experience designing, validating, or optimizing scoring models used for AML, sanctions, and fraud detection including rule-based and statistical models.Strong conceptual understanding of how scoring mechanisms work, including weighting, calibration, thresholds, and the trade-off between precision and recall.Experience analyzing alert generation and case creation logic, ensuring model outputs align with true financial crime risk.Skilled in model performance monitoring, including effectiveness testing, back-testing, and model tuning to reduce false positives and capture emerging typologies.Strong grasp of data-driven risk segmentation how behavioral, transactional, and customer features drive scoring outcomes.Familiarity with machine learning, network analytics, or anomaly detection applied to financial crime use cases.Deep understanding of risk management principles, control frameworks, and how model governance fits within enterprise risk and compliance structures.Proven capability to translate complex analytical concepts into actionable intelligence for investigators, senior management, and regulators.Strong quantitative, analytical, and communication skills, with the ability to bridge technical modeling and real-world risk understanding.Skills:Critical ThinkingMonitoring, Surveillance, and TestingRegulatory ComplianceRisk ManagementCoachingIssue ManagementPolicies, Procedures, and Guidelines ManagementStrategy Planning and DevelopmentWritten CommunicationsExternal Resource ManagementReportingShift: 1st shift (United States of America)Hours Per Week: 40Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.