Victor Chernikov is an experienced leader in data analytics, specializing in risk models and data quality. Currently the Head of Department at Innotech, Victor manages a team of 40 specialists focused on the creation and optimization of data marts, predictive analytics, and model quality control. Notable projects include the development of data marts for the retail credit pipeline and the implementation of a comprehensive quality control system for models. Previously held leadership positions at Alfa-Bank, VTB, and Bank Otkritie, where Victor spearheaded similar initiatives in model quality and validation, contributing to significant improvements in operational efficiency and risk management. With a strong educational background in risk management and finance from esteemed institutions, Victor has established a track record of implementing innovative solutions and methodologies across various financial organizations.
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