Semyon Malamud

Semyon Malamud is an Associate Professor of Finance at the Swiss Federal Institute of Technology in Lausanne and the Director of the Financial Engineering Section.

He has a PhD in Mathematics from ETH Zürich, holds a Senior Chair at the Swiss Finance Institute, is a Lamfalussy fellow of the European Central Bank, and a Research Fellow of the Centre of Economic Policy Research (CEPR) and the Bank for International Settlements. He is also an Associate Editor at the Journal of Finance.

Semyon's research has been published in top economics and finance outlets, including Econometrica, American Economic Review, Journal of Finance, Review of Financial Studies, and the Journal of Financial Economics.

His research has also been recognized with several awards, including a Jack Treynor Prize, two INQUIRE Europe prizes, the Dauphine-Amundi Chair in Asset Management award, the Europlace Institute of Finance award, and the ETF Academy Award.

Awards

Best discussant award at the 14th Annual Conference in Financial Economic Research

2017

INQUIRE joint seminar prize

2015

Publications

Teaching & PhD

PhD Students

Giuseppe Matera, Matias Sakari Palmunen, Johannes Schwab

Past EPFL PhD Students

Julien Arsène Blatt (2019), Erik Hapnes (2021), Boris Kuznetsov (2025), Evgeny Petrov (2017), Rémy Praz (2014), Teng Andrea Xu (2024), Yuan Zhang (2018)

Courses

Big Data and Machine Learning for Financial Economics

FIN-622

This class is an introduction to Machine Learning and High-Dimensional Statistics in Finance. We start with a purely empirical approach, focusing first on high-dimensional regressions, then moving to kernel methods and deep learning, and then studying equilibrium implications.

Machine learning in finance

FIN-407

This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details of applying deep learning models to finance.