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White Paper

AML Customer Risk Rating

Modernize customer risk rating models to meet risk governance regulatory expectations

About this paper

Customer due diligence begins with verifying each customer’s identity and assessing the associated risk. Assessing customer risk is an essential component of a comprehensive Bank Secrecy Act/Anti-Money Laundering (BSA/AML) monitoring program.

To meet risk governance regulatory expectations and accurately assess higher-risk customers, financial institutions are modernizing their customer risk rating models and moving their heuristic, rule-based customer risk rating models to statistical models, specifically ordinal logistic regression models.

These statistical models perform better than rules-based models, are easier to justify to the regulators and are easier to update, validate and maintain because they use an established and understood framework. They are quickly becoming standard due to the regulatory pressure to use more scientific approaches. 

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Pazarlama içerikli iletiler almaya rıza gösterdiğiniz takdirde, yukarıda sağladığınız iletişim bilgileri SAS Institute Bilgisayar Sistemleri Ltd. Şti. tarafından, size etkinliklerimiz, ürünlerimiz ve hizmetlerimiz ile ilgili pazarlama içerikli elektronik mesajlar göndermek, SAS’ın satış ve pazarlama faaliyetlerini planlamak ve yürütmek amacıyla ve açık rızanıza dayanılarak 6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında veri sorumlusu sıfatı ile işlenecek ve yurt dışında bulunan SAS iştiraklerine aktarılacaktır.

 
 

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