The OCC and Federal Reserve issued guidance called "Supervisory Guidance on Model Risk Management", and it has become clear that all banks, regardless of size or regulator, which use an automated transaction monitoring system, are expected to undergo an independent, periodic validation of their monitoring system to ensure it's not "garbage in, garbage out."

Your bank needs to show your auditors and regulatory agencies that your transaction monitoring software accurately and comprehensively aggregates and monitors transactions of your customers, and performs as intended in detecting suspicious activity, as well as adequately risk rating, both at account opening and on an ongoing basis, the risks associated with the customer relationship and also at the account level.

There were numerous BSA enforcement actions recently, and a common theme was the deficiencies, or omissions, concerning banks' model validation processes and the knowledge base of those responsible for overseeing such systems. Most Compliance and BSA personnel deal with laws and regulations, rather than algorithms and quantitative analysis, and struggle with the concept of how to properly ensure the model is producing intended results – and whether to file a SAR or not.

This webinar will provide a level of knowledge that key bank personnel can use to oversee the validation process and ensure your bank meets regulatory and audit expectations.What You'll Learn:

• Data validation vs model validation and how they interact
• Accuracy in risk rating/ranking of relationships and accounts
• Validation engagement letter, scope, work-papers and final report
• Independence considerations for in house model validations
• Background and experience of internal or external personnel conducting validation
• Ensuring that data collected and loaded into the monitoring software is accurate and comprehensive
• Core, host and other systems that feed into the data stream
• Corrective action follow-up to any identified deficiencies or gaps
• Model data input, processing and reporting methodology and expectations
• Impact upon SARs, CTRs, CDD and EDD
• System utilization for initial Customer Risk Profile and ongoing monitoring; and
• Differences in Rules Based vs Behavior Based parameters and efficiencies.