How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Trade-based money laundering is the process of disguising the proceeds of crime and moving value using trade transactions to legitimize their illicit origins

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Three new success stories show how banks are using technology and best practices to fight AML in the pandemic

With all the expense pressures that AML programs face, corporations are seeking ways to reduce the regulatory burden, and top of mind is robotic process automation

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

Regulators will look to tighten up on financial crime next year

FICO and Crystal Blockchain of Bitfury Group announce partnership to deliver real-time crypto-currency risk management

Azerbaijan's largest bank has started using FICO software to take an integrated approach to combating financial crime - money laundering and terrorist finance

Fraud and compliance must work together to put the customer at the heart of eKYC strategy

The availability of leaked documents such as the Paradise and Panama Papers provides an alternative source of data that can help identify suspicious organizations

The key to reducing false positives while detecting more money laundering and other financial crimes is to radically improve detection

Due to all the fines and scandals in 2018, I am convinced that AI will play a more important role in financial crime compliance.

To comply with tax regulations, it is a must for a bank to check customers against these lists to avoid non-compliance, a damaged reputation and the support of illegal activity.