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.