Riccardo Della Vecchia
EFX Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRiccardo Della Vecchia is a quantitative researcher and machine learning specialist with a PhD in Statistics and Machine Learning and a decade of experience applying advanced ML and statistical physics techniques to financial markets. Currently building ML-driven alpha models and execution frameworks for high-frequency FX and precious metals trading at HSBC, he previously advanced deep reinforcement learning and causality research at Inria with publications in top venues. His background in theoretical physics and early success in national mathematics and physics olympiads informs a strengths-in-first-principles approach to model design and complex systems analysis. Riccardo has translated academic innovations into open-source contributions (rlberry) and large-scale econophysics studies, uncovering structural patterns in economic time series. Known for bridging rigorous research with production trading needs, he combines curiosity about causal structure with practical focus on prediction accuracy and trading performance.
10 years of coding experience
3 years of employment as a software developer
Exchange Program Theoretical and Mathematical Physics, Exchange Program Theoretical and Mathematical Physics at Imperial College LondonDoctor of Philosophy - PhD Statistics and Machine Learning, Doctor of Philosophy - PhD Statistics and Machine Learning at Università BocconiMSc Theoretical Physics, MSc Theoretical Physics at Università degli Studi di PadovaII level Master's degree Applied Mathematics and Physics, II level Master's degree Applied Mathematics and Physics at Scuola GalileianaItalian High School Diploma Scientific program in mathematics physics and informatics, Italian High School Diploma Scientific program in mathematics physics and informatics at Scientific Liceo Galilei, Belluno
German, Italian, English, French
Github Skills (3)
reinforcement-learning-environments10
reinforcement-learning8
deep-reinforcement-learning7
Programming languages (1)
Github contributions (5)
riccardodv/FitFirmEcology
May 2016 - Mar 2022
Contributions:4 pushes, 1 branch in 5 years 11 months
riccardodv/rlberry
Jan 2022 - Jul 2023
An easy-to-use reinforcement learning library for research and education.
Contributions:30 pushes, 5 branches in 1 year 6 months
library-learningreinforcement-learningreinforcementdeep-reinforcement-learning
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