Lead AML Transaction Monitoring Model Specialist

Wells Fargo

. Own assigned AML transaction-monitoring models throughout their lifecycle, including ongoing monitoring, annual reviews, revalidation support, model changes, finding remediation, and retirement .

Posted 10/27/2026full-timeUnited StatesSenior💰 $100,000 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AML Transaction Monitoring model management, including ongoing monitoring, model performance assessment, 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, SQL, Or Python ProficiencyStatistical Analysis And Model Performance MeasurementBSA/AML KnowledgeMaster's Degree In A Quantitative Field

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Lifecycle ManagementData Quality InvestigationFeature DevelopmentThreshold EvaluationModel Testing And Production ChecksTransaction-Level Dataset AnalysisTechnical DocumentationIssue RemediationModel Validation SupportRisk Factor Behavior Analysis

Soft Skills

Clear CommunicationAnalytical ThinkingCollaboration

Tools & Technologies

End User Computing ToolsAnalytical Reports

Certifications & Qualifications

CAMS Certification

Industry Keywords

Financial Crimes ModelsFraud Detection ModelsCustomer Risk Rating ModelsMoney-Laundering TypologiesRegulated Environment

Tech Stack

Tools & technologies

PythonSQL

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 that production implementation and outputs align with 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, end user computing tools, and analytical reports
Translate money-laundering typologies and red flags into measurable features and data requirements
Execute applicable model-governance and transaction-monitoring controls
Retain evidence and coordinate required 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
Experience with ongoing monitoring, implementation testing, technical documentation, lifecycle management, and issue remediation
Proficiency in at least one of SAS, SQL, or Python, including writing, reviewing, and troubleshooting code
Experience analyzing large transaction-level datasets
Experience reconciling outputs and investigating data-quality issues
Experience assessing the impact of 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
Machine-learning experience and CAMS certification as 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
Eligible employees may also be eligible for incentive opportunities