Learn about the different types of AML models in use, regulatory guidance, and how to independently validate them.
Having an effective Anti Money Laundering (AML) program is critical to all financial institutions. A key component of an effective AML program is the use of quantitative models to identify suspicious activity. However, the use of models inevitably introduces risk to an organization that can be addressed through an effective independent challenge program. This presentation will help you to understand the different types of AML models in use, regulatory guidance for such models, and how to independently validate them.
Agenda
Faculty
Avinash Voruganti
Protiviti
- Director, Risk and Compliance Analytics, Protiviti
- Served as a joint practice leader for Risk & Compliance at Protiviti for South-East Asia
- Served multiple clients across North America and APAC, validated the AML/BSA models for multiple top Financial Institutions
- Experienced with new and emerging technologies, including blockchain, automation, and machine learning (ML)
- CAMS Certified
- Master’s degree in transportation engineering, The University of Texas at Austin
- Can be contacted at [email protected] or 650-422-1949
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