Igor Goncharenko is a highly accomplished data scientist and risk management professional with a diverse background in mathematics and physics. He has a PhD in Physics from the University of California, Merced, an MS in Physics from Peoples' Friendship University of Russia, and has studied Mathematics at the Independent University of Moscow. With a track record of success at top-tier organizations including Sberbank, Otkritie Capital International Limited, VTB, and BNP Paribas, he brings a wealth of experience to any team he works with.

Currently serving as Team Lead - Data Science at Sberbank, Igor has previously held roles as Head of ALM Regulation at Sberbank CIB, Lecturer at ICEF - Higher School of Economics, Quant Developer at Basis Capital, Quant Strategist at Palefire Limited, and Research Assistant at University of California, Merced. Additionally, he has also worked as a Classteacher and Teaching Assistant, which has given him a deep understanding of how to communicate complex ideas to individuals at different levels of expertise.

Igor's proficiency in data science, risk management, and quantitative analysis make him an invaluable asset to any organization looking to make data-driven decisions. With experience in financial services, risk analysis, and academic research, he is well-equipped to handle challenging situations and provide effective solutions. His passion for data-driven analysis and problem solving make him a natural fit for any organization looking to improve efficiency and profitability through smart analysis.