AML Analytics

The ideal candidate will have a strong background in AML compliance, Transaction Monitoring, Sanctions screening, and/or Financial Crime Prevention, particularly in delivering Technology/Systems Implementation, AML technology enhancements, Model Validation, Data Validations, Rules/Parameter Tuning, Coverage Assessment, and/or Transaction Monitoring Lookback Analysis. Preferred technical skills include proficiency in data analytics, SQL, SSIS, Python, AI/ML models, statistical methods for tuning, and a thorough understanding of US AML and Sanctions regulations. Additionally, the candidate should have experience in client management, large team leadership, relationship management, and delivering tech/analytics projects. Technical experience with prominent AML platforms/solutions (e.g., Actimize, Oracle FCCM, SAS AML, Fircosoft, Quantexa, Fenergo) and knowledge of banking data (e.g., SWIFT, ISO 20022, ACH) is preferred.

Key Responsibilities:

• Transaction Monitoring Implementation:
• Lead the design, development, and implementation of transaction monitoring systems.
• Ensure that monitoring systems are effectively identifying suspicious activities and are compliant with regulatory requirements.
• Collaborate with IT and data teams to integrate transaction monitoring solutions with existing systems.
• Transaction Monitoring Model Validation:
• Conduct comprehensive validation of transaction monitoring models to ensure accuracy and effectiveness.
• Develop and execute testing plans to assess model performance and identify areas for improvement.
• Document validation processes and findings, providing recommendations for model enhancements.
• Transaction Monitoring Lookback Analysis:
• Conduct lookback analyses to review historical transaction data for potential missed suspicious activities.
• Develop and customize rules in SQL to enhance transaction monitoring capabilities.
• Tune thresholds using statistical methods to optimize the detection of suspicious activities while minimizing false positives.
• Document lookback analysis processes, findings, and recommendations.
• Client Management:
• Serve as the primary point of contact for clients. Develop and maintain strong client relationships, ensuring client satisfaction and addressing any concerns.
• Provide regular updates and reports to clients on transaction monitoring activities and outcomes.
• Team Leadership:
• Manage and mentor a team of AML analysts.
• Set performance goals, conduct regular evaluations, and provide feedback and development opportunities.
• Foster a collaborative and high-performance team environment.
• Regulatory Compliance:
• Stay current with US AML regulations and ensure transaction monitoring practices are compliant.
• Provide guidance and training to team members on regulatory requirements and best practices.
• Participate in regulatory examinations and audits, providing necessary documentation and responses.

Qualifications:

• Bachelors degree in Computer Science, or a related field.
• Minimum 8 years of experience in data analytics.
• Minimum of 5 years of experience in AML compliance, with a focus on transaction monitoring and sanctions screening.
• Strong knowledge of US AML regulations.
• Experience with AML transaction monitoring software (e.g., Actimize, Oracle FCCM, Fircosoft, SAS AML).
• Proficiency in SQL, SSIS, and Python for data extraction, transformation, and data analysis.
• Extensive experience with data analytics tools and techniques.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong project management skills with the ability to lead cross-functional teams.
• Excellent communication and interpersonal skills.
• Relevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) are a plus.

Preferred Skills:

Familiarity with machine learning and artificial intelligence applications in transaction monitoring.