Developing Risk Models for AML and BSA Monitoring Programs

Why Should You Attend:

A risk model plays a key role in the AML/BSA monitoring program, and the methods used in its development and their applications provide a basis for further action. Regardless of the number of customers, areas of concern, geographic operations or size of transaction, a well-developed model provides a solid foundation for the fulfillment of an organization’s AML/BSA responsibilities.

This webinar will discuss the need for a risk model, its effectiveness and limitations and also analyze existing models. It will further elaborate best practices for developing a risk model and testing it.

With the growth of automated AML/BSA systems, and an increase in government oversight, restrictions and concerns, this program is designed to assist AML officers, compliance professionals, and legal or operational team members in understanding the factors that can be used to develop a risk model and its implications.

Areas Covered in the Webinar:

• What is a risk model and its purpose?
• What can a risk model do? What can’t it do?
• Existing risk model or factor rules/regs.
• How to develop a risk model?
• What do I need?
• What can I live without?
• Have I understood all the components?
• Testing a risk model.
• Do I need more than one risk model, or the flat model approach?
• Documenting and re-evaluating the process and resulting model.

Who Will Benefit:

• AML/BSA officers and consultants
• AML/BSA software developers
• Risk and compliance management personnel
• Regulatory compliance associates and managers
• Company management
• Audit professionals

Instructor Profile:

Warren R. Markowitz is an attorney and veteran compliance officer. He has been involved in the US financial sector in one form or another since 1994. Mr. Markowitz has provided hands on, direct advisory services to domestic and international financial service providers in their dealings with federal and state oversight authorities and self-regulatory organizations, as both a lawyer and an advisor through several consulting and technology advisory firms. His experience with regulatory bodies has enabled him to represent his clients and provide real world references and perspective when resolving pre-existing issues and avoiding new ones.

Topic Background:

Risk models provide an unbiased, empirical method to establish a risk score for a customer. In short, a risk model allows one to mathematically identify how risky a customer is without the biased emotional attachment that comes from relationships. With a well-defined model, an institution can take into account a multitude of factors and develop a method of ranking its business so that it can concentrate its AML/BSA efforts where they are needed.

Follow us :