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Senior AML Transaction Monitoring
Matrix Global. Perform independent validation of AML and Financial Crime models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AML Model Validation and Financial Crime Analytics, with strong analytical and statistical skills to assess model performance and compliance. Proficient in developing validation documentation and collaborating with cross-functional teams to enhance model governance and risk management.
Highest-signal resume keywords
AML Model ValidationThreshold Tuning and OptimizationAdvanced SQL SkillsPython and/or R ProficiencyModel Governance and Risk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AML Transaction MonitoringModel Validation MethodologiesData AnalysisStatistical Problem-SolvingData MiningExploratory Data AnalysisModel Performance AssessmentQuantitative AnalysisRisk MitigationRegulatory Compliance
Soft Skills
Excellent Communication SkillsStakeholder ManagementPresentation SkillsCollaborationAnalytical Thinking
Industry Keywords
AML RegulationsBSAFinancial CrimeCompliance FrameworksModel Risk ManagementFinancial Crime RisksBanking ProductsOperational ProcessesModel DocumentationValidation Reports
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Perform independent validation of AML and Financial Crime models
- Conduct threshold tuning and optimization of AML transaction monitoring scenarios
- Evaluate model methodologies, assumptions, data quality, and performance metrics
- Develop validation documentation, including validation reports, model assessments, playbooks, and runbooks
- Analyze large datasets to identify trends, anomalies, and model enhancement opportunities
- Assess risks associated with model design, implementation, and ongoing monitoring processes
- Provide recommendations for model improvements, process optimization, and risk mitigation
- Collaborate with Compliance, Financial Crime, Technology, and Business teams on model governance initiatives
- Monitor regulatory developments and industry trends related to AML, BSA, sanctions screening, and financial crime analytics
- Present findings, recommendations, and validation outcomes to stakeholders and senior management
- Support implementation and validation of new detection scenarios, models, and monitoring strategies
- Leverage data analytics and statistical techniques to evaluate model performance and suspicious activity detection capabilities
- Deliver regulatory-compliant model validations and assessments
- Improve AML model effectiveness through data-driven threshold tuning and optimization
- Identify emerging risks and recommend practical solutions
- Enhance model governance, documentation, and operational processes
Requirements
What you’ll need- Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, Finance, Computer Science, or a related field
- 5-8 years of experience in AML Model Validation, Model Risk Management, Financial Crime Analytics, or Transaction Monitoring
- Strong understanding of AML regulations and compliance frameworks, including BSA, AML Directives, and related regulatory requirements
- Proven expertise in AML Transaction Monitoring threshold tuning and optimization
- Hands-on experience validating financial crime models and assessing model performance
- Strong knowledge of model governance, validation methodologies, and model risk management principles
- Experience developing validation reports, model documentation, playbooks, and operational runbooks
- Strong analytical, quantitative, and statistical problem-solving skills
- Advanced SQL skills and experience working with large datasets
- Proficiency in Python and/or R for data analysis and model validation activities
- Experience performing data mining, exploratory data analysis, and statistical assessments
- Excellent verbal and written communication skills with the ability to present complex findings to technical and non-technical audiences
- Strong presentation and stakeholder management skills
- Solid understanding of banking products, services, and financial crime risks across business lines
Benefits
Comp & perks- Competitive compensation and benefits
- Meaningful career development opportunities
- Challenging and engaging work environment
- Diverse, inclusive culture
- Collaboration, continuous learning, and growth