Summary
Riccardo Lucchese is a Lead Quant Researcher with 12 years of experience building real-time, hyperscale ML systems for fraud detection, market making and risk mitigation. At Revolut he led efforts protecting 50M+ users, reshaped core ML platform architecture and introduced operational standards adopted department-wide while mentoring high-impact teams. His background spans fintech and high-performance motorsport analytics at Red Bull Racing, underpinned by a PhD in Automatic Control and peer-reviewed work on ML for control systems and fraud detection. He combines theoretical rigor with product-focused delivery, shipping hedging and algorithmic trading models in production as well as operational fraud defenses that reduced friction and loss. Notably, his career traces back to real-time mechatronics and kernel-level development, reflecting a rare blend of low-level systems engineering and advanced machine learning at scale.
12 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.) Mechatronics Robotics and Automation Engineering, Master of Science (M.Sc.) Mechatronics Robotics and Automation Engineering at Università degli Studi di Padova
Licentiate of Engineering Automatic Control, Licentiate of Engineering Automatic Control at Luleå University of Technology
English, German, Italian, Swedish