Bank Of America GFC Manager - FIU Detection 

United States, North Carolina, Charlotte 

836233628

This 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, 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 experience
• Deep 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 Thinking
• Monitoring, Surveillance, and Testing
• Regulatory Compliance
• Risk Management
• Coaching
• Issue Management
• Policies, Procedures, and Guidelines Management
• Strategy Planning and Development
• Written Communications
• External Resource Management
• Reporting

1st shift (United States of America)