- AI transformation of Finance: from scratch to AI Native maturity level and sound financial effects- AI strategy, roadmap, management & coordination, R&D, ML as a service, ML Ops, KPIs, DS Community. - Board -1 level: reporting to CFO. - Key AI streams: decision making & optimisation, analytics, predictive modelling, price elasticity models, pricing, CV/NER/NLP document processing, process mining, data quality. - TimeSeries, AutoML, RL, NLP/NER, CV, Gradient Boosting, Bayes models and more.

• Responsible for banking products pricing approach (both corporate and retail): implemented structural approach that grew to a new cross-function strategic IT Program (over few bn rub expected NPV) aimed at providing holistic effective pricing service to business blocs: IT infrastructure (price calculator, etc), methodology, rules, process, governance and price optimization DS/AI models.• Head of retail banking book products structuring unit, Treasury: managed 5 FTE unit responsible for assessment of key decisions on all retail credit and deposit products (price and terms changes, launch of new products, etc) in terms of their effect on ALM risks and profitability, prepared material to ALCO and Business Development Committee, developed pricing models, predictive data science models and methodology for quantitative measurement of economic effectiveness of the decisions (incl. effectiveness of sales campaigns to existing customers).

Experience of launching retail banking business in Russia: 1) Product Development - implemented Payroll product2) Project Management - Set up and managed sales managers support team3) Financial modelling, budgeting and cost analysis

International Management Training program for graduates, 2007- Prague posting for 3 months, commercial banking busniess- Dubai positng for 3 months, personal financial services- Moscow positing for 9 months, personal financial services- London training 1 month

Assistant to Chief Economist for CIS (Russia, Ukraine, Kazakhstan), Treasury, Moscow