MDOTM, the Fintech startup that leverages AI to develop investment strategies for institutional investors, wealth managers, and asset managers, appoints Simone Facchinato as its new Chief Investment Officer. This helps the fintech – which specializes in the rigorous application of the scientific method – to add a significant amount of expertise in developing quantitative investment solutions that can adapt to the ever-evolving nature of financial markets.
With 20+ years track record in the Finance and Asset Management industry, Facchinato has worked in several top-tier financial institutions as Head of Multi Asset at ANIMA SGR (personally overseeing € 30 Billion of assets) and previously as Chief Investment Officer at Amundi in Italy and Head of Institutional Business Development at Arca SGR. During his career, after graduating with honours in Mathematics, he acquired a broad expertise in many key areas of the asset management industry, and a deep knowledge of quantitative investment strategies and institutional investors’ needs and requirements.
Facchinato is a CFA charterholder and an active member of the academic investment community, with several published research papers and scientific articles. He is often called on to speak about macroeconomic topics and frequently joins industry-leading events as keynote speaker.
“Artificial Intelligence and Machine Learning mark a decade-long transition in the Asset Management industry. From traditional statistical techniques to new complex models for decision-making, they will be fundamental in establishing a competitive advantage in the future. MDOTM’s approach and methodology follow this direction.” – says Facchinato – “The team’s enthusiasm is contagious, and I am looking forward to give my contribution to develop new investment strategies that can address the increasing complexity of financial markets”
Federico Mazzorin MDOTM’s CTO, Co-CIO & Co-Founder adds: “We are very proud that Simone has joined our team. In the last few years, Artificial Intelligence has made a giant leap forward, and to constantly add value there is a need for continuous investment in financial and computational research. In this sense, Simone’s skills and deep expertise will be fundamental to develop better and more efficient investment models”