Translation. Region: Russian Federal
Source: State University Higher School of Economics – State University Higher School of Economics –
At the beginning of June Faculty of Computer Science HSE held its fifth anniversary Fintech School, organized basic department of PJSC Sberbank “Financial technologies and data analysis”More than 200 students, teachers and practitioners gathered in the HSE building on Pokrovsky Boulevard to listen to presentations by experts from major companies.
On the first day, Yevgeny Solovyov, Deputy Director of the Innovation Department of the National Payment Card System, and bachelor’s degree graduates presented their reports. “Software Engineering” Timofey Looze, Head of Product Analytics Group for Factoring at Ozon Bank, and Ekaterina Karavaeva, Research Intern Cloud and Mobile Technologies Labs Faculty of Computer Science at the Higher School of Economics, engineer-developer of the platform solutions department at T-Bank.
The second day of the school was opened by Sber’s Senior Vice President, Head of the Risks Block, Dzhangir Dzhangirov. He told how Sber makes decisions around the clock, what technologies operate “under the hood” of the company and what role AI plays in this. Sber was also represented by Evgeny Sokolovsky, Executive Director, Leader of the Antifraud in Lending to Individuals product and a Master’s degree teacher “Financial Technologies and Data Analysis” HSE Faculty of Computer Science. He gave a lecture entitled “Antifraud in the Age of AI Accomplices.”
At the end of the school, the participants listened to lectures from Fedor Pakhurov, a research intern project-training laboratory “Artificial Intelligence in Mathematical Finance” HSE Faculty of Computer Science, and speakers from Alfa-Bank – Victoria Baykova, head of the LLM development projects program, and Artem Karavaev, head of advanced analytics projects.
The presentations focused on the most relevant topics — financial innovations and technologies, including the use of artificial intelligence, blockchain, and APIs in fintech. Experts spoke about low-code solutions for accelerating business processes and data approaches that transform traditional banking. Special attention was paid to combating fraud in the AI era, as well as diffusion generative models and RAG systems. Automatic machine learning and its role in automating data analysis for business monetization were also discussed.
During the breaks between lectures, participants had the opportunity to get to know each other better, discuss the knowledge they had gained, and ask questions to industry experts.
Speakers and participants shared their impressions of the school.
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