Andrey Obruchkov
Veteran of Israel Military Intelligence Unit 81, where he specialized in advanced operational technologies. His industry work spans blockchain infrastructure, distributed systems, and protocol engineering across EVM environments, Bitcoin, Solana, Ethereum, Cosmos, and Aptos. At ITO PROCESS, he designs cross-exchange arbitrage systems with focus on low-latency architecture, concurrency, and secure execution pipelines. He develops primarily in C++, Rust, and Python. Graduate of the Israel Institute of Technology.
Dmitry Sokolov
Educated at the Moscow Institute of Physics and Technology (MIPT), with focus on applied mathematics and computational methods in the tradition of Andrey Tikhonov. He later joined X Markets, a UK algorithmic trading firm, where he developed systematic platforms for arbitrage strategies and optimized execution under latency constraints. At ITO PROCESS, he leads technology, with responsibility for trading system architecture, execution engines, and high-performance computing infrastructure.
Dr. Alexei Morozov
Earned a Ph.D. in Probability Theory from Lomonosov Moscow State University, specializing in stochastic differential equations and martingale methods in financial modeling. Previously led quantitative research at a European proprietary trading group, where he developed volatility-surface models and statistical arbitrage strategies. At ITO PROCESS, he directs quantitative research with emphasis on stochastic calculus, spectral methods, and high-frequency time-series inference.
Dr. Eitan Shalev
Served in Israel Defense Forces Unit 8200 before earning a Ph.D. in Computer Engineering from the Technion – Israel Institute of Technology. Has over fifteen years of experience in low-latency trading infrastructure and distributed systems, including senior roles at leading algorithmic trading firms. At ITO PROCESS, he is responsible for engineering, systems reliability, and cybersecurity architecture.
Dr. Natalia Kuznetsova
Holds a Ph.D. in Statistics from St. Petersburg State University, with published work on rough volatility models and extreme value estimation. She served as a quantitative strategist at a major derivatives house, developing jump-diffusion modeling and tail risk frameworks. At ITO PROCESS, she focuses on regime-switching volatility structures and arbitrage-free pricing models.
Jordan Powell
Brings more than two decades of experience in platform and systems development, including senior roles at Meta and Qube Research & Technologies in the UK. At Qube, he worked on large-scale systematic trading platforms, specializing in model deployment, performance optimization, and resilient execution across markets. At ITO PROCESS, he leads trading system design and governance, with focus on scalability, fault tolerance, and low-latency integration between research and execution layers.
Mikhail Orlov
Holds a Master’s degree in Applied Mathematics from the National Research University Higher School of Economics in St. Petersburg. Previously at a global electronic trading firm, where he specialized in cross-exchange arbitrage and latency-sensitive execution. At ITO PROCESS, he works on model calibration, stress testing under regime shifts, and liquidity-fragmentation analysis across centralized and decentralized venues.
Noam Ben-David
Began his career in Israel Defense Forces Unit 81, focusing on advanced systems engineering. He later held roles at international exchanges and hedge funds with exposure to execution strategy, collateral management, and cross-market operations. At ITO PROCESS, he is responsible for execution protocols, liquidity relationships, and operational continuity across centralized and decentralized markets.
O.D. Kobo
Two decades of experience in capital deployment, structured finance, and cross-border investment across technology, energy, and infrastructure. From 2003 to 2010, directed the Qatar Investment Authority’s investments in China, working under Sheikh Hamad bin Jassim bin Jaber Al Thani, then Prime Minister and Chairman of QIA. Later co-founded PIR Equities in London, a private equity firm managing $1.8 billion across alternative assets. Subsequent work includes institutional digital-asset allocations and large-scale technology projects with PRC state-owned enterprises. Educated in Hong Kong (HKIS) and London, with studies in Business at Regent’s Business School and Finance at the London School of Economics.
Sergei Volkov
Studied Computer Science and Finance at Taras Shevchenko National University of Kyiv. He has held engineering and trading roles at global proprietary firms, where he specialized in order book dynamics, point process modeling, and queue-reactive strategies for execution optimization. At ITO PROCESS, he develops microstructure models for high-frequency calibration, focusing on precision in fragmented liquidity domains and the integration of statistical research into live trading systems.
Thompson Gamboa
Brings a creative lens to markets, focusing on how assets are understood, valued, and positioned beyond conventional financial analysis. His work centers on cultural interpretation, human perception, and the intangible factors that shape market appeal. Rather than models or quantitative methods, he contributes ideas that reframe challenges and open new directions of thought, often questioning assumptions that others take for granted. At ITO PROCESS, he serves as a source of original perspective, ensuring the firm’s approach is informed not only by mathematics and engineering, but also by the broader ways in which markets resonate with people and culture.
Yaniv Rubin
Veteran of Israel Military Intelligence Unit 8200, where he worked on large-scale signals intelligence platforms, cryptographic systems, and real-time interception technologies. Later held senior engineering roles at Intel, DevOcean, and Salesforce. At ITO PROCESS, he leads engineering for low-latency infrastructure, distributed execution pipelines, and high-volume frameworks supporting systematic arbitrage strategies. Develops primarily in C++ and Python, with focus on concurrency and integration of research models into live execution. Graduate of the Israel Institute of Technology.