AML Model Validation Manager

The remote AML Model Validation Manager will be responsible for the validation of Anti-Money Laundering (AML) models to ensure they comply with regulatory standards and internal policies. This role involves evaluating model performance, managing validation processes, and providing recommendations for improvements. The AML Model Validation Manager will collaborate closely with various departments including Compliance, Risk Management, and Information Technology.

Responsibilities

Model Validation:

• Conduct comprehensive validations of AML models, including transaction monitoring, customer risk scoring, and sanctions screening models
• Assess model assumptions, methodology, performance, and output to ensure accuracy and compliance
• Develop and implement validation plans, including the design and execution of tests and reviews
  
  

Documentation and Reporting:

• Prepare detailed validation reports documenting findings, methodologies, and recommendations
• Maintain thorough documentation of all validation processes and results
• Communicate validation findings and recommendations to senior management and relevant stakeholders
  
  

Collaboration and Support:

• Work closely with model developers, data scientists, and compliance teams to understand model design and implementation
• Provide guidance and support to improve model development and calibration
• Participate in regulatory examinations and internal audits related to model validation
  
  

Risk Management:

• Identify and assess model risks, ensuring models are aligned with regulatory requirements and internal risk policies
• Monitor ongoing model performance and suggest improvements as needed
• Stay updated on industry best practices, regulatory changes, and advancements in AML model validation techniques
  
  

Leadership and Training:

• Lead a team of validation analysts, providing direction and oversight
• Conduct training sessions for staff on model validation processes and best practices
• Foster a culture of continuous improvement and innovation within the team
  
  

Requirements

• Bachelor’s degree
• Minimum of 5 years of experience in AML model validation, risk management, or a related field
• Proven experience with AML compliance and regulatory requirements
• Experience with statistical analysis and model validation tools and techniques
• Strong analytical and quantitative skills
• Proficiency in statistical software (e.g., SAS, R, Python) and database management (e.g., SQL)
• Excellent written and verbal communication skills
• Ability to manage multiple projects and meet deadlines
• Strong leadership and team management capabilities
• Strong problem-solving skills and attention to detail
• In-depth knowledge of AML regulations and guidelines (e.g., BSA, USA PATRIOT Act, OFAC, FATF)
• Certification in AML (e.g., CAMS) is a plus
  
  

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