Mr Alberto Pallotta

Biography

I hold a degree in Engineering and a Msc in Artificial Intelligence.

 My career began in finance, where I assumed various roles before co-founding the London Trading Institute. 

I have also served as a DeFi advisor for Tendermint, the American company that developed Cosmos, one of the largest blockchains globally.

 My expertise in quantitative finance and blockchain led me to contribute as a reviewer to the Law Commission's consultation on digital asset regulation and collaborate with the Digital, Culture, Media and Sport Select Committee (DCMS). I am deeply passionate about finance, artificial intelligence, and mathematics. 

Currently, I am the Head of R&D at a Swiss asset management firm and teach two quantitative finance-oriented modules at Middlesex University.

Teaching

• Computational Finance (ECS3556): Where I explore complex computational methods in finance, equipping students with the skills to apply these techniques in practical scenarios.
• Quantitative Methods (ECS1003): This module introduces students to essential quantitative tools necessary for economic and financial analysis.
• Part of Advanced Econometrics (ECS3003): I contribute to this module by focusing on advanced econometric techniques used in financial modelling and prediction.