Conclusion
We demonstrate a method that enables assigning a risk score to nonbanks and it is suitable for KYC/AML purposes e.g. presents the different shades of risk using legal definitions that are standard in the public and private equity markets. The dataset is augmented with useful data points such as key company contacts and banking providers. The scores are updated dynamically via a data stream. The procedure allows assessing the counterparty risk associated with novel players (e.g. cryptocurrency and blockchain vendors) in the boundary where they connect to the mainstream financial system.