Dynamic Risk Classification for Anti-Money Laundering

Financial institutions are finding it necessary to strengthen their anti-money laundering (AML) platforms to stem the tide of illicit financial transactions and meet new regulatory mandates. For enterprises with moderate to high risk
exposures, this calls for a rigorous automated system based on dynamic risk assessment.

 

Financial institutions need a way to adapt rules, parameters and scenarios to match the risk profile for any given account or individual in order to monitor

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a RiskTech Forum account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: