In September 2019, CERN, the foundation Commodity Risk Management Expertise Centre (CORMEC) and the Wageningen University signed an agreement to develop new methods for identifying anomalies that can harm the integrity of commodity and financial markets. The detection of anomalies in real-time, in the high-speed, high-volume body of financial transactions requires the exact identification of suspicious signals in massive amounts of data. The ability to detect such signals would generate safer and more stable financial environments, sharpen the surveillance of risk, and enhance regulatory compliance. The collaboration leverages CERN’s expertise and tools in big data storage, processing, analysis, and visualisation to tackle new challenges in the financial system.