Quant Summit Europe

Alexei is Quantitative Research & Development Lead at ADIA.

Formerly a Managing Director and Global Head of Data Analytics at Standard Chartered Bank, Alexei is responsible for providing data analytics services to Corporate, Commercial and Institutional Banking division of Standard Chartered Bank.

He joined Standard Chartered Bank in 2010 from Barclays Capital where he managed a model development team within Credit Risk Analytics. Prior to joining Barclays Capital in 2004, he was a senior quantitative analyst at Dresdner Bank in Frankfurt.

Alexei holds MSc in Theoretical Nuclear Physics from the University of Kiev and PhD in Mathematical Physics from the Institute for Mathematics, National Academy of Sciences of Ukraine.

He was the recipient of the 2019 Quant of the Year award from Risk magazine.

Vladimir Piterbarg is the global head of Quantitative Analytics at NatWest Markets since 2018. He held similar positions at Rokos Capital Management LLP, Barclays Capital/Barclays investment bank, and Bank of America. Vladimir Piterbarg has a PhD in Mathematics (Stochastic Calculus) from the University of Southern California. He serves as an associate editor of the Journal of Computational Finance and the Journal of Investment Strategies. Together with Leif Andersen, Vladimir Piterbarg wrote the authoritative, three-volume set of books “Interest Rate Modelling”. He published multiple papers in various areas of quantitative finance, and won Risk Magazine’s Quant of the Year award twice.

Mathieu Rosenbaum is a full professor at École Polytechnique, where he holds the chair “Analytics and Models for Regulation”

and is co-head of the quantitative finance (El Karoui) master program. His research mainly focuses on statistical finance problems, regulatory issues and risk management of derivatives.

He published more than 80 articles on these subjects and supervised about 20 PhD students.

He is notably a renowned experts on the quantitative analysis of market microstructure and high frequency trading.

Mathieu Rosenbaum is also at the origin (with Jim Gatheral and Thibault Jaisson) of the development of rough volatility models.

He is one of the editors in chief of the journal “Market Microstructure and Liquidity“ and is associate editor for 10 other journals.

Furthermore, he received the Europlace Award for Best Young Researcher in Finance in 2014, the European Research Council Grant in 2016, the Louis Bachelier prize in 2020 and the Quant of the Year award in 2021.

Blanka Horvath is a Lecturer in Financial Mathematics at King’s College London as well as a Honorary Lecturer at Imperial College London and a researcher at The Alan Turing Institute, where she is co-lead of the Machine Learning in Finance theme. Blanka holds a PhD in Financial Mathematics from ETH Zurich, a postgraduate Diplom in pure Mathematics from the University of Bonn and an MSc in Economics from the University of Hong Kong. In her latest research she focusses on non-Markovian models of nancial markets such as Rough Volatility models as well as modern DNN- based market generators. Prior to her position at King’s College, Blanka worked at JP Morgan on the re nements of the Deep Hedging programme and the development of generative market simulation models. Her work on DNN-based calibration of Rough Volatility models was awarded the Rising Star Award 2020 of Risk magazine.

Johannes is the Head of the Mathematical Finance Section at Imperial College London, where he also directs the CFM-Imperial Institute on Quantitative Finance. Before his appointment at Imperial, Johannes held faculty positions at Carnegie Mellon University, the University of Michigan and ETH Zurich. His research focuses on the impact of "market frictions” such as trading costs or asymmetric information on optimal trading strategies.