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MONEY LAUNDERING IN CANADA 2016FINANCIAL CRIME, COMPLIANCE & REGULATION
HOW TO CONDUCT AN AML SYSTEM ASSESSMENT
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TECHNICALDOCUMENTATION
Architecture
Functional Specification
Extract, Transform and Load (ETL) process
Operations manual
Inadequate documentation could be a risk for AML system operations because of staff attrition.
AUDIT ANDCONTROLS
If, the above procedures are not implemented then it could increase the risk for failures in the IT department which increases the risk to Compliance (owner of the AML system).
Error handling
Database backups
Source code control
DATA RECONCILIATION
Validating the counts of source data and comparing counts in the AML system is crucial for accountability and producing an audit trail.
DATA VOLUMETRENDS
Volatility in the daily record count of crucial transaction files could be a symptom of issues in the ETL process.
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20000
30000
40000
50000
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70000
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September 2016 Record Count
ONGOINGDATAVALIDATION
NULL check
Referential Integrity
Range of values
Data can change over time so it is essential to build ongoing validation processes to ensure accuracy and make configuration changes as needed.
CLIENT ONBOARDINGSTANDARDIZATION
If, new client data is captured without strict standards then the quality of results in the AML and/ or fraud system will degrade. i.e. Address validation and account takeover incidents.
Names
Addresses
Phone numbers
Tax identification
MODELPERFORMANCE
Distinct account / alert ratio
STR ratio
High risk entity attributes
Group segmentation
Thresholds and scoring
Creating metrics to evaluate a model’s performance over time is a way to identify trends and improvements for optimization.
INSUMMARY
Is employee attrition a risk because of lack of documentation ?
Are you monitoring for data quality red flags on a daily basis?
Is your AML dashboard helping to identify trends at the enterprise level?