Senior quantitative researcher and portfolio trader exploiting statistical arbitrage techniques, financial signal processing, and machine learning for high frequency trading. Portfolio construction and implementation expertise based on 18 years managing negotiation and execution of trades on multiple exchanges, including crypto, commodities, stocks and fixed income. Proficient in Python, R and Matlab; Expert user of Bloomberg, Eikon and most third party OEM platforms. Techniques span across multiple specialties and change dramatically depending on the trading frequency, ranging from stochastic volatility and covariance modeling to short-term prediction based on market microstructure opportunities.
Contemporary interdisciplinary research into questions about language, information, and intelligence — both human and machine. Emphasis on the following cognate disciplines: Computer Science, Philosophy, Mathematics, and Statistics.
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