Leveraging Data Analytics to Combat Money Laundering and Other

Financial Fraud

NICK NICHOLS Vice President,

Compliance SolutionsDST – Moderator

JOHN YOUNG, PhDVice President,

Development and Data Science

DST Applied Analytics Group

BRIAN SQUIBB Cloud Platform Sales,

Engineering Team Lead Google

MIKE MCNALLYVice President, Customer

Protection Financial Intelligence Group

Fidelity Investments

Staggering Numbers Growing AnnuallyPenalties and Fines

Money Laundering

Global money-laundering transactions at least 2% of global GDP, or roughly $1.5T

Estimated that in the U.S., $300B generated from illicit proceeds annually

Companies spending estimated $7B annually on AML in the U.S. alone

$2.9B will be lost annually to senior financial abuse

Senior and Vulnerable Investor Abuse

!

of seniors experience financial abuse within any given 5 year period

At least

36.9%Over Since 2002, federal regulators

have imposed more than $5.4B in penalties / fines against financial institutions for alleged violations of BSA and AML regulations

What You’ll Be Hearing About

Money laundering and fraud

trends, and areas of concern

Senior and Vulnerable

Investor abuse

Leveraging broader

sources of data and analytics

Sharing of “anonymized”

data

SEC and FINRA use of data analytics

Money Laundering and Fraud Trends and Concerns

$$

$

Senior and Vulnerable Investor Abuse

Leveraging Broader Sources of Data and Analytics

SEC and FINRA Use of Data Analytics

Sharing of “Anonymized” Data

Questions?