Senior AML Transaction Monitoring

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct independent validation of AML and Financial Crime models.

• Perform threshold tuning and optimization for AML transaction monitoring scenarios.

• Assess model methodologies, assumptions, data quality, and performance metrics.

• Create validation documentation, including reports, assessments, playbooks, and runbooks.

• Analyze large datasets to uncover trends, anomalies, and opportunities for model enhancement.

• Evaluate risks associated with model design, implementation, and continuous monitoring processes.

• Offer recommendations for model enhancements, process optimization, and risk mitigation.

• Collaborate with Compliance, Financial Crime, Technology, and Business teams on model governance efforts.

• Keep abreast of regulatory developments and industry trends concerning AML, BSA, sanctions screening, and financial crime analytics.

• Share findings, recommendations, and validation results with stakeholders and senior management.

• Assist in the implementation and validation of new detection scenarios, models, and monitoring strategies.

• Utilize data analytics and statistical methods to assess model performance and suspicious activity detection capabilities.

• Deliver model validations and assessments in compliance with regulatory standards.

• Enhance AML model effectiveness through data-driven threshold tuning and optimization.

• Identify emerging risks and suggest practical solutions.

• Strengthen model governance, documentation, and operational processes.

⛳️ Requirements

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Science, Economics, Finance, Computer Science, or a related discipline.

• 5-8 years of experience in AML Model Validation, Model Risk Management, Financial Crime Analytics, or Transaction Monitoring.

• In-depth understanding of AML regulations and compliance frameworks, including BSA, AML Directives, and associated regulatory requirements.

• Proven proficiency in AML Transaction Monitoring threshold tuning and optimization.

• Practical experience in validating financial crime models and evaluating model performance.

• Comprehensive knowledge of model governance, validation methodologies, and principles of model risk management.

• Experience in developing validation reports, model documentation, playbooks, and operational runbooks.

• Strong analytical, quantitative, and statistical problem-solving abilities.

• Advanced SQL skills and experience handling large datasets.

• Proficiency in Python and/or R for data analysis and model validation tasks.

• Experience in data mining, exploratory data analysis, and statistical assessments.

• Excellent verbal and written communication skills, capable of presenting complex findings to both technical and non-technical audiences.

• Strong presentation and stakeholder management capabilities.

• Solid understanding of banking products, services, and financial crime risks across various business lines.

🏝️ Benefits

• Competitive compensation and benefits.

• Meaningful career development opportunities.

• Challenging and engaging work environment.

• Diverse, inclusive culture.

• Collaboration, continuous learning, and growth.