AML Model Validation Manager

The AML Model Validation Manager will lead the independent validation of Anti-Money Laundering (AML) and financial crime detection models across global entities. This role will oversee a team of validation professional and ensure regulatory compliance through rigorous model review, testing, and documentation. The position requires deep technical expertise in Python and SQL, combined with strong knowledge of AML/financial crime regulations and model risk management principles.

Key Responsibilities

Team Leadership & Management

• Supervise, mentor, and develop a team of 2 model validation analysts
• Assign validation projects based on team capabilities and priorities
• Conduct performance evaluations and provide ongoing coaching and technical guidance
• Foster a culture of continuous learning and technical excellence within the team

Model Validation Execution

• Lead independent validation of models across multiple domains:

• Money Movement/Transaction Monitoring scenarios
• Trade Surveillance models (market abuse, insider trading, manipulation)
• Sanctions screening
• Geographic Risk Rating (GRR) models
• Customer Risk Rating (CRR) models

• Perform comprehensive validation assessments including conceptual soundness, data integrity, model methodology, performance testing, and ongoing monitoring review
• Develop and execute validation test scripts using Python and SQL to assess model accuracy, calibration, and performance
• Validate model assumptions, logic, thresholds, and segmentation approaches
• Assess model governance, documentation, and change management processes

Technical Analysis

• Extract, manipulate, and analyze large datasets using Python and SQL
• Develop Python scripts for statistical testing, back-testing, and sensitivity analysis
• Replicate model logic and perform independent calculations to verify sample model outputs
• Conduct outcome analysis and effectiveness testing of surveillance alerts
• Perform false positive/false negative analysis and assess model tuning effectiveness
• Validate data quality, completeness, and appropriateness for model inputs

Regulatory Compliance & Reporting

• Ensure validation activities meet regulatory requirements from SR 11-7, OCC 2011-12
• Prepare comprehensive validation reports documenting findings, limitations, and recommendations
• Present validation results to Regional and Global AML senior management
• Support regulatory examinations and respond to regulatory inquiries regarding model validation
• Stay current on regulatory guidance, industry best practices, and emerging AML typologies
• Enhance validation methodologies, tools, and automation capabilities
• Contribute to validation framework development and standard operating procedures

Preferred Qualifications:

• Bachelor's degree in Computer Science, Data Science, Stat