Adam Ntakaris

Adam Ntakaris is a Quantitative Engineer and Assistant Professor of Financial Technology at the University of Edinburgh Business School.

He builds and iterates on quantitative models for high-frequency trading, focusing on the engineering challenges of applying deep learning and heuristic methods in live market conditions - work that has appeared in IEEE Transactions on Neural Networks and Learning Systems.

Previously, he served as an Effective Interest Rate Analyst at Citigroup's Investment Bank and undertook a quantitative research internship at abrdn. There, he worked on "New Measures of Portfolio Diversification", a research project that formed the basis of his MSc dissertation, which was awarded distinction.

He earned a DSc in High-Frequency Trading and Artificial Intelligence from Tampere University as a Marie Skłodowska-Curie Fellow. He also holds an MSc in Financial Modelling and Optimization from the University of Edinburgh (School of Mathematics) and a BA in Mathematics from Aristotle University of Thessaloniki.

Earlier in his career, he served for several years as a Mathematics Olympiad Coach at Systima, a mathematics education centre in Greece, where he taught game theory and geometry.