AML Data with Python

I still remember the night we discovered a massive structuring ring at one of the local banks in Bangladesh. It was a BDT 100 million transaction that slipped through our monitoring systems. The next morning, our team was in a frenzy, trying to file a Suspicious Transaction Report (STR) with the Bangladesh Financial Intelligence Unit (BFIU). But, as we delved into the process, we realized that our manual reporting templates were inadequate and error-prone . That's when I decided to take matters into my own hands and automate our BFIU reporting templates using Python and Pandas. I had 8 years of experience in AML compliance, but I had never tackled a project like this before. I was determined to make it work. The Hidden Problem Standard approaches to automating BFIU reporting templates often fail in Bangladesh due to the unique nature of our financial landscape. We have a thriving mobile financial services (MFS) sector, with players like bKash, Nagad, and Rocket, which complica...