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The Impact of Artificial Intelligence & Machine Learning on the Alternatives Industry
07/16/2019 @ 17:30 - 20:00
As artificial intelligence becomes more prominent it is having a significant impact on the alternative investment industry -from the technology-related investments in the industry is making, to the models the industry relies on to choose its investments.
Join the New York Alternative Investment Roundtable for a panel discussion looking at multiple facets of artificial intelligence and the impact it is having on the alternative investment industry as a whole.
Olga Kokareva, head of data sourcing and strategy, Quantstellation
Paul Lucek, CEO and CO-CIO, Ridgedale Advisors
Keywan Rasekhschaffe, Senior Quantitative Strategist, Gresham Investment Management
Gordon Ritter, Professor at NYU Courant and Tandon, Baruch College, and Rutgers, and an elite buy-side quantitative trader/portfolio manager
Rick Roche, managing director, Little Harbor Advisors
Olga Kokareva is the head of data sourcing and strategy for Quantstellation, a multi-strategy, multi-horizon quantitative trading group. She is responsible for proactive sourcing of traditional and alternative data sets, building strategic data partnerships and managing full cycle of data acquisition. Prior to Quantstellation, she was at ITI Group where she was the head of a multi-manager hedge fund platform focusing on quantitative investment strategies. Before that she held a variety of senior roles in the alternative investments industry including head of operations and investor relations at Da Vinci Capital and client relations manager at Renaissance Capital.
Paul Lucek, CEO and Co-CIO of Ridgedale Advisors, leads Ridgedale’s portfolio management and development of new investment and risk management strategies and co-leads the firm’s investment Committee. Prior to joining Ridgedale in 2014, he was CEO and CIO of SSARIS Advisors and, before that served as that firm’s director of research. Before moving to SSARIS, he developed quantitative algorithms for trading stock index futures, which he used to launch SITE Capital Management, a CTA and CPO that focused on systematic equity derivatives and options strategies. He was also previously part of the Human Genome Project at Columbia University as a candidate in the MD/PhD program, and holds a bachelor of arts and a master of arts from Harvard University.
Keywan Rasekhschaffe is a senior quantitative strategist at Gresham, where he is responsible for research and development of quantitative alpha models and asset allocation. Prior to joining Gresham he oversaw quantitative research at System Two Advisors, where he also was the global macro portfolio manager. Previously he was a Chazen Visiting Scholar at Columbia Business School. Keywan was a scientific researcher at the National Center of Competence in Research (NCCR Finrisk) in the field of financial valuation and risk management, which is part of the Swiss National Science foundation.
Gordon Ritter is a Professor at NYU Courant and Tandon, Baruch College, and Rutgers, and an elite buy-side quantitative trader/portfolio manager. He is an expert in statistical machine learning and its applications in finance and recently Gordon founded his own quantitative trading firm. Before that he was a senior portfolio manager at GSA Capital, where he designed, built, and managed statistical arbitrage strategies in multiple geographies and asset classes, and directed research in GSA’s New York office. Prior to GSA, he was a vice president at Highbridge Capital and a core member of the firm’s statistical arbitrage group. He holds a PhD in mathematical physics from Harvard University, where he worked with Arthur Jaffe and published papers in international journals across the fields of quantum computation, quantum field theory, and abstract algebra.
Rick Roche, CAIA, is a managing director at Little Harbor Advisors, which is a sponsor of quantitative investment strategies. He is also the founder of Roche Invest AI, a consultancy specializing in research, integration and promotion of AI, Machine Learning and utilization of alternative investment data in the investment management industry. Roche Invest AI advises on the diffusion and propagation of quantitative investment strategies powered by machine learning, Big Data and Natural Language Processing.