We look toward the future of AML Compliance:

• The Future of AML Compliance: AML Risk Analytics Function, Business Intelligence Data Mining

  • Group-Level FCC/AML Risk Analytics Function is an absolutely essential risk-mitigating component of a robust Anti-Financial Crime / AML Programme. It enables FCC/AML Compliance to make efficient and effective use of the various, rich information already available within the Organization.

  • We consider FCC/AML Risk Analytics Function the key risk discovery ingredient or a “risk intelligence engine” that enables the organization to finally “connect the dots” and understand its enterprise-level Risk footprint. The function includes Customer Risk, Geography Risk, Division / Business Unit Risk, Product Risk, Transaction & Activity Risk and continuously loops in new risk discoveries from new product offerings, from SAR filings, from Negative News, from Sanctions and Fraud, etc. 

  • AML & Risk Analytics begin with strong data management. If done correctly, it can enable Group-Level strategic, efficient and proactive risk management and extraction of robust and comprehensive Risk KPIs and MIS.

  • Furthermore, it can result in significant Data Reusability cost savings and numerous operational efficiencies. Not acknowledging the growing importance of data analytics may result in a lost opportunity for your Organization to advance its Anti-Financial Crime Programme.

  • Descriptive and Inferential Statistical Data Analyses play a key role in a strong Anti-Money Laundering Transaction Monitoring Programme. Our AML Transaction Monitoring Data Science & Data Analytics Team believes that Data Mining, Data Modeling and Advanced Data Analytics are essential for effective, efficient and accurate identification of Risks & potential Financial Crimes across the organization, its products and services and its global business footprint.