Lead AML Transaction Monitoring Model Specialist

What you'll do

• Own the full lifecycle of AML transaction-monitoring models, including ongoing monitoring, annual reviews, and retirement.
• Monitor model performance by analyzing alert trends, population changes, risk-factor behavior, and data quality.
• Verify that production implementations align with approved designs, including logic, thresholds, and intended scope.
• Identify critical data elements and investigate defects to quantify their impact on model outputs.
• Maintain accurate model documentation regarding methodology, data requirements, assumptions, and monitoring results.
• Lead the analysis and remediation of model issues and risk findings with technology and data partners.
• Translate money-laundering typologies into measurable features and data requirements for model development.
• Communicate model behavior, emerging risks, and remediation status to leadership and audit stakeholders.

What we're looking for

• 5+ years of analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
• Hands-on experience owning AML transaction monitoring, fraud detection, or other quantitative risk models (preferred).
• Proficiency in at least one of SAS, SQL, or Python, including writing and troubleshooting code (preferred).
• Experience analyzing large transaction-level datasets and investigating data-quality issues (preferred).
• Experience with statistical analysis, model-performance measurement, feature development, and threshold evaluation (preferred).
• Experience supporting independent model validation and preparing remediation documentation (preferred).
• Knowledge of BSA/AML transaction monitoring, money-laundering typologies, and red flags (preferred).
• Master’s degree or higher in a quantitative field (preferred).