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Lead AML Transaction Monitoring Model Specialist
WF. Own assigned AML transaction-monitoring models throughout their lifecycle, including ongoing monitoring, annual reviews, revalidation support, model changes, finding remediation, and retirement .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AML Transaction Monitoring model management, including performance monitoring, model validation, and documentation. Proficient in statistical analysis and translating complex data into actionable insights within a regulated banking environment.
Highest-signal resume keywords
AML Transaction Monitoring Models OwnershipSAS ProficiencySQL ProficiencyPython ProficiencyBSA/AML Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model Performance MeasurementStatistical AnalysisFeature DevelopmentData Quality AssessmentModel Validation SupportThreshold EvaluationTransaction-Level Dataset AnalysisModel Testing ExecutionDocumentation of FindingsRisk Factor Behavior Analysis
Soft Skills
Clear CommunicationAnalytical ThinkingProblem-Solving
Certifications & Qualifications
CAMS Certification
Industry Keywords
Financial Crimes ModelsFraud Detection ModelsCustomer Risk Rating ModelsQuantitative Risk ModelsMoney-Laundering TypologiesRegulated EnvironmentModel Governance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own assigned AML transaction-monitoring models throughout their lifecycle, including ongoing monitoring, annual reviews, revalidation support, model changes, finding remediation, and retirement
- Monitor model performance and health, including alert trends, population changes, risk-factor behavior, data quality, and known limitations
- Verify production implementation and outputs against approved model design, including logic, thresholds, segmentation, and intended scope
- Execute and document model testing and production checks
- Identify and assess critical data elements and dependencies; investigate defects and quantify their impact on model outputs
- Maintain complete, accurate, and current model documentation
- Lead analysis and remediation of model issues and model-risk findings
- Coordinate with development, technology, data, investigations, and Model Risk Management partners
- Support development and enhancement of transaction-monitoring models, EUCTs, and analytical reports
- Translate money-laundering typologies and red flags into measurable features and data requirements
- Execute applicable model-governance and transaction-monitoring controls, retaining evidence and coordinating reviews and approvals
- Communicate model behavior, emerging risks, analytical findings, and remediation status to leadership, governance partners, Model Risk Management, audit, and other stakeholders
Requirements
What you’ll need- 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
- Hands-on experience owning AML Transaction Monitoring models, Financial Crimes models, Fraud Detection models, Customer Risk Rating models, or other quantitative risk models
- Proficiency in at least one of SAS, SQL, or Python
- Experience analyzing large transaction-level datasets, reconciling outputs, investigating data-quality issues, and assessing model or data changes
- Experience with statistical analysis, model-performance measurement, feature development, segmentation, and threshold evaluation
- Experience supporting independent model validation, responding to findings, and preparing evidence-supported remediation documentation
- Knowledge of BSA/AML transaction monitoring, money-laundering typologies, and red flags
- Experience translating complex technical analysis into clear documentation and decision-ready communications
- Experience in banking or another regulated environment with formal quantitative-model governance
- Master’s degree or higher in a quantitative field (desired)
- Machine-learning experience and CAMS certification (additional preferences)
Benefits
Comp & perks- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
- Incentive opportunities may be available