Financial professional with with broad experience in all aspects of development of high frequency trading systems.
Direct experience with listed options trading, risk management, research and development of new alpha strategies.
Interested in efficient small prop-groups, start-ups, etc.
Specialties: Quantitative Trading, Automated Trading, High Frequency, Volatility Trading, Risk Management, Strategy Research, Simulation. Grid Computing. Machine Learning. Big Data.
Listed options and cash trading.
Efficient parallel computing, ultra-low latency execution.
Paul Whilmotts' 7-city
Novosibirsk State University (NSU)