Authority for Anti-Money Laundering and Countering the Financing of Terrorism launches March data collection to calibrate risk models for selecting up to 40 directly supervised entities

The Authority for Anti-Money Laundering and Countering the Financing of Terrorism (AMLA) announced it will launch a data collection exercise in March to test and calibrate its risk assessment models for the financial sector. The models will inform the 2027 selection of up to 40 entities for AMLA’s direct supervision starting in 2028 and support consistent assessments of money laundering risks by supervisors across the EU. Run in close cooperation with national supervisors and the private sector, the exercise will cover two groups of financial institutions: those that may be eligible for AMLA’s direct supervision and a representative sample expected to remain under national supervision. National supervisors provided AMLA with lists for both groups and AMLA has notified them of the institutions selected to participate; participating institutions will be able to test and prepare their systems for future data collections, while AMLA will use the results to optimise the data collection planned for the selection process. Once the models have been fully tested and calibrated, AMLA will establish the final list of entities eligible for direct supervision. National supervisors will then collect data points from the eligible entities in early 2027, feeding into AMLA’s subsequent selection of up to 40 directly supervised entities.