Product Manager, Product Owner, Project Manager, Team Lead, Tech Lead, Researcher

• Determination of priority areas of research in the field of artificial intelligence and software development. • Analysis of the market, competitive products, substitutes, patents. • Analysis of the needs of potential users. • Determining the vision of what needs to be built or created in terms of the product. • Communication with the customer and the team, collecting requirements, defining expectations and wishes, creating a business model. • Creation or assistance in the development of epics, functions and their decomposition into user stories. • Create user stories, prioritize product and project backlog, assign tasks. • Development of a work plan. • Recruitment of personnel. • Create, maintain and prioritize product backlog according to business value, time and goals. • Helping the personal development team and staff achieve the goals of each sprint. • Manage changes of projects (scope, timeline, cost). • Project teams management. • Creation of specifications and functions. • Create, update and monitor product dashboards. • Correction and improvement of each iteration of the product. • Growth Hacking, UX, CJM, CustDev, JTBD A / B tests (work hierarchy, roles, work map). • Interaction with project stakeholders. • Acted as the chief liaison officer between teams and stakeholders. • Control over the performance of work by project participants.

Research Leadership in Artificial Intelligence and Software Development.

• International Research Projects: Control Systems, Deep Learning, Machine Learning, Consensus Dynamics, Distributed Ledger. • Projects with Russian and International Companies (Oil, Energy, Gas). • Russian Scientific and Research Projects (Russian Venture Company, Skolkovo, National Technology Initiative "Distributed Ledgers

• Trading strategies. • Multi-Objective Time Series Prediction by Neural Networks. • Multi-Objective Optimization. • Search and Optimization of Hyperparameters (News, Currencies, Commodities etc.) • Volatility Modeling. • Probabilistic Programming.

• Scientific Research Area: Algorithmic Trading, High-Frequency Trading, Options, Real Options, Corporate Finance, Risk Management. • Scientific Research in Finance: Neural Networks, Convolutional Neural Networks. • Practical Classes (English): Corporate Finance 1, 2 (MCF) and Risk Management (MCF).

• Development, Testing and Implementation of Algorithmic Strategies. • Research and Mathematical Formalization of Promising Trading Algorithms. • High Frequency Trading.

• Strategy. • General Management. • Finance. • Marketing (B2B, B2C). • Development and Implementation of ERP-system.

• Strategy. • General Management. • Finance. • Transactions in the Debt Capital Market. • CRM Implementation. • Issue Bonds. • IPOs.

• Strategy. • Finance. • Management of Information Technology Department. • Treasury, Cash, Planning and Budgeting. • Financial Analysis and Reporting. • Asset Valuation.

• Transactions with investment company. • Corporate Actions. • Participation in Mergers and Acquisitions. • Dividend Payments and Coupons. • Information Services. • Reporting.