AML Data with Python

I still remember the day our team detected a massive structuring ring in a local mobile financial service (MFS) provider, with transactions totaling over BDT 10 million in a single week. What was more alarming was how this had slipped through our standard monitoring systems, highlighting the critical gaps between FATF recommendations and Bangladesh's BFIU guidelines. The Hidden Problem As an AML compliance analyst, I've found that standard approaches often fail in Bangladesh due to the unique nature of our financial landscape. The BDT 100,000 MFS threshold monitoring, for instance, can be easily circumvented by structuring transactions just below this limit. Moreover, the sheer volume of transactions in platforms like bKash and Nagad makes manual monitoring nearly impossible. Technical Breakdown & Logic Flow To tackle this, our team developed a more nuanced system. First, we collected and preprocessed transaction data, focusing on patterns that might indicate structuring o...