Prometeia sponsors the 12th Annual Banking Credit Risk Management Summit, hosted by Allan Lloyds in Vienna, 12-14 February 2019. Prometeia's Credit Risk Management team joins a qualified panel of speakers, leveraging its expertise to address some of the main challenges of credit risk management.
Machine learning techniques can be applied in the detection of the risk information to improve the decision making along the credit value chain. New engines based on text analytics algorithms can extract relevant information from unstructured sources providing timely potential signals of risk. The capabilities to detect risk signals, filtering the background noise, and to transform into sound information is crucial to evolve towards new lending service models.
Stefano Romano, Partner Prometeia
A partner at Prometeia since 2015, deputy head of International Business and head of the Credit and Operational Risk business line. He joined Prometeia in 2004. A graduate in Engineering Management from Milan Polytechnic, he has acquired in-depth expertise on application solutions and business process re-engineering in the area of financial services. He coordinates projects on Basel 2 and 3 compliance issues at major Italian and international banking groups. He also works on the design and implementation of risk-based software solutions for credit risk. He has developed distinctive competences in the area of capital planning, credit strategies, pricing, Icaap, stress testing and the implementation of risk and management models.