Tutors

Alexander Denev has more than 15 years of experience in finance, financial modelling and machine learning and he is the former lead of the Advanced Analytics & Quantitative Research at IHS Markit. He has written several papers and two books on topics ranging from stress testing and scenario analysis to asset allocation. He is currently writing his third book on Alternative Data in Trading&Investing. Alexander Denev attained his Master of Science degree in Physics with a focus on Artificial Intelligence from the University of Rome, and he holds a degree in Mathematical Finance from the University of Oxford, where he continues as a visiting lecturer.

Drago’s hedge funds career continued in fintech as a data science practitioner at Oxquant (Oxford; FCA #232160), co-founder of Soft-Finance (Geneva), Technological Partnership (Belgrade) and Richfox Capital (Amsterdam). ETFmatic.com “robo” app runs his implementation of a fully digital investment process, following quant/PM roles in various hedge funds, a sovereign wealth fund and a multi-family office, Drago has co-edited the Legaltech book for Wiley (2020) and lectures part-time at Queen Mary and Regents. Member of the IEEE and IET, PhD (Imperial College), Dipl Ing (Belgrade), fintech and AI funding reviewer for the EU and @dindjic on Twitter.