anti-money ten timely and accurate compliance data is...
TRANSCRIPT
TENAs government regulations increase and work�ow and technology challenges grow, the need for timely and accurate compliance data is vital. That’s why Dow Jones Risk & Compliance teamed up
with the Association of Certi�ed Anti-Money Laundering Specialists to survey 1,100 Anti-Money Laundering professionals and gain an unprecedented inside look at the current state of AML affairs. Take a look at the survey’s �ndings and benchmark your experiences against those of your peers.
Roadblocks to Anti-Money Laundering Success
The Most Common Challenges to Compliance
What’s Driving Workload?
Additional Sources of Workload Increase
The regulations and recommendations putting pressure on AML departments
of organizations have revamped their clienton-boarding processes or plan to do so dueto new FATCA requirements70%
Compliance teams are becoming an increasinglyimportant asset within their organizations due to:
Increasing Di�culties Means Increasing Workload
The Big Sweep
AML Departments Feel the Pain
Fighting False Positives
Cleansing Client Data
Aiming for Accuracy
Company growth:
55%37%37%
Rising regulatoryexpectations:
New or expanded government regulations:
49%
32%
60%44%
13 minutes
78%
87%
62%
77%of compliance professionals are struggling under the pressure of a growing workload
of AML departments expect to see an increase in workload by 2015
of those familiar with client screening have lost con�dence in the accuracy of data after experiencing too many false positives
Sensitive Subjects: Screening For Domestic PoliticallyExposed Persons (PEPs)
Average amount of screening alerts that are false positives
of these regularly assess their technology, either quarterly or annually
of companies claim 75%+ of alerts are false positives
Average time required to clear a false positive:
Why organizations review their screening solutions:
of survey respondents screen domestic PEPs
3/4
Companies must ensure their client data and technology solutions are e�ective, e�cient, and up-to-date
The PEP screening process generates a large numberof false positives
e�ective e�cient up-to-date
The primary motivation of review andchange is accurate screening
of companies have a clientscreening technology solution in place
28%
47%
40%
40%
34%
Too many false positive alerts:
Too many false negative alerts:
Cost issues:
Enterprise technologyconsolidation:
Compliance professionals must increase their focus on the quality of client data
of compliance professionalshave cleansed their customers’
data within the past six months
71%of AML departments areinvolved in data cleansing
conduct continuous audits
67%
Dodd-Frank Wall Street Reform and Consumer Protection Act:
59%
72%Foreign Account Tax Compliance Act:
Insuf�cient staf�ngin AML departments 40%
Insuf�ciently trainedAML staff 49%
Insuf�cient or outdatedtechnology 38%
Increased regulatoryexpectations 62%
10
1010
ANTI-MONEY LAUNDERING
Exiting Business Segments Due to Regulatory Risk
FinCEN Impact on Maintaining High-Risk Accounts
Growing realmsof responsibility
29%
Brought to you by Risk & Compliance
70%30%
79%
of AML departments already handle fraud detection & prevention
Identify and understand individuals with ultimate ownership or control of an asset.
56%
77%
74%
83%
Types of Data Relevant for Managing Fraud
Crime typologies
News
Risk data
Fraud Detection And Prevention: The Next Big Thing
Lowering the Threshold on Bene�cial Ownership
82%
69%verify through processesof internal due diligence
Less than 30% of
companies verify beneficial
ownership to a level of 10%
of companies verifybeneficial ownership as part of theKnow Your Customer (KYC) process
How Companies VerifyBene�cial Ownership 29% verify using a country
company registry
18%
of companies verify throughoutsourced processes of due diligence
29%
Plans to exit business line/segment in the next 12 months
30% are planning or investigating the possibility of exiting
Multiple responses allowed
24%
70%
10%
Investigating possibility of exiting
Not planning or investigating exit
Planning to exit
Due only to preceivedregulatory risk:
Due to inability tomanage the risk:
Have exited business line/segment in past 12 months
35% have exited for one of both reasons
Yes
Yes
No
No
MSB or high-risk account closures have reducedorganization’s willingness to maintain accounts:
70%38%
Yes No
21%