Data & Analytics, Risk & Compliance
Anti-money laundering programs: managing data, regulatory risks
A global multinational bank successfully managed large data volumes in its anti-money laundering program and protected clients and franchisees from regulatory risks.
A leading multinational bank
Identify and mitigate risks related to anti-money laundering (AML) regulations
Tools and technologies
Cloudera, Hadoop, Talend, Spark MLlib, MicroStrategy, Datameer, Sqoop