Director, AML Modeling

Dallas, United States of America

Job Description Summary

The Director, AML Modeling is responsible for leading projects associated to AML (Anti-Money Laundering) models to prevent and detect usage of bank products and services for the purposes of money laundering, terrorist financing and sanctions avoidance. The primary role of AML modeling team is to design develop AML models. Apply both quantitative and qualitative methods and approaches to Tune and Optimize AML models.

The incumbent will be an individual contributor as well lead the team of quantitative professionals by providing strategic and thought leadership to protect the bank from AML risks. The incumbent is also responsible for addressing and executing model risk management activities consistent with framework, best-practice and regulatory guidance.

• Develops new methodologies and approaches to the management of AML model risk.
• Follow frameworks and methodologies to develop and enhance models. Tune and Optimize the models using various statistical methods.
• Develops Ongoing Performance Monitoring reports to monitor model performance and proactively identify the model risk and weakness.
• Promotes a risk management culture by encouraging team to embrace appropriate risk practices and supporting team members in fulfilling risk management responsibilities.
• Proactively identifies areas of issues or concerns related to potential gaps in existing processes, procedures, policies, frameworks.
• Informs perspective on market environment, future trends, and emerging risk issues.
• Responds to required corrective actions in a timely and complete manner.
• Tests risk model numerical, statistical, and computational accuracy; performs outcomes analysis; and reviews model governance and control process.
• Communicates with senior management on risk modeling, decision, and data for improved efficiency, effectiveness, and/or risk reduction to the company.
• Executing model risk management activities and projects consistent with the Enterprise MRM framework, industry best-practice and regulatory guidance.

• 12+ Years model development experience in AFC/AML or related field

• Has proven experience in AML model development, Scenario Tuning and Optimization, Entity segmentation and resolution.
• Experience in framework and control development.
• Statistical/data analytical skills, including data validation and experience in predictive modeling.
• Proven experience in addressing model risk management and audit findings.
• Knowledge in data analysis, data management and data governance.
• Familiarity with guidance on Model Risk Management (SR 11-7, OCC 2011-12, etc.).
• Experience in cloud data infrastructure.
• Knowledge of banking regulatory environment and impact on risk, management practices.
• Demonstrated various testing techniques to ensure model soundness.
• Ability to lead complex projects with outstanding awareness of the Operational Risk associated.
• Adherence to the Code of Conduct, assigned Risk Tolerance or Mandates and all organizational policies and procedures applicable.
• Strong presentation and documentation skills.