The Evolving World of Bank Secrecy Act (BSA) Programs: Latest Trends and New Risks You Should Know

On-Demand Webinar (February 10, 2021)

Sam Chen

Quantitative Consultant

Darling Consulting Group

As a Quantitative Risk Consultant at Darling Consulting Group, Sam has validated a variety of risk models for large financial institutions—including risk rating, stress testing, allowance and deposit models—from both a statistical and business perspective. Sam has also combined his background in econometrics with his experience in credit risk to help DCG enhance its community bank credit stress testing methodology.


Before arriving at DCG, Sam served as a Senior Consultant in SunGard’s Risk & Performance group, where he developed models in multiple areas of financial risk, with a focus on credit and interest rate risk. Sam designed SunGard’s Dodd-Frank Act stress testing model selection algorithm and has also created custom PD and LGD models, including a suite of models currently implemented at a top 15 U.S. bank (by asset size).


Sam graduated cum laude with a bachelor’s degree in economics with mathematical applications from Princeton University. While at Princeton, he was the recipient of the John Glover Wilson Memorial Award for his thesis studying the economics of bargaining.

Sam Chen

Quantitative Consultant

Darling Consulting Group

As a Quantitative Risk Consultant at Darling Consulting Group, Sam has validated a variety of risk models for large financial institutions—including risk rating, stress testing, allowance and deposit models—from both a statistical and business perspective. Sam has also combined his background in econometrics with his experience in credit risk to help DCG enhance its community bank credit stress testing methodology.


Before arriving at DCG, Sam served as a Senior Consultant in SunGard’s Risk & Performance group, where he developed models in multiple areas of financial risk, with a focus on credit and interest rate risk. Sam designed SunGard’s Dodd-Frank Act stress testing model selection algorithm and has also created custom PD and LGD models, including a suite of models currently implemented at a top 15 U.S. bank (by asset size).


Sam graduated cum laude with a bachelor’s degree in economics with mathematical applications from Princeton University. While at Princeton, he was the recipient of the John Glover Wilson Memorial Award for his thesis studying the economics of bargaining.

Criminals are sneaky! As such, they will focus their craft upon institutions with weak BSA programs where they have the best odds of laundering funds from illicit activity. Moreover, fraud tends to rise during periods of economic uncertainty, like the current pandemic. Significant government pandemic responses such as the Payment Protection Program (PPP) have created opportunity for fraud using the same financial institutions that have been so important in helping the country weather the economic shutdown. Furthermore, just a few months ago, regulatory agencies issued a joint statement on the enforcement of BSA requirements. 


Join DCG Quantitative Risk Consultant Sam Chen as he helps you navigate the evolving world of BSA, including how to understand the latest quantitative vendor models and how to address new BSA risks that have recently emerged.