NYAIR Episode 36 – AI & Machine Learning in Investment Management

Discover the latest trends in quantitative model development. AI and Machine Learning in Investment Management is an insider’s look into the opaque world of quantitative investing and the emergence of Artificial Intelligence, Big and small Data.

  • The origins of AI/Machine Learning
  • Quants: Then & Now. People, Players & AI/ML Practitioners
  • Alternative Investment Data
  • Digital Disruption-Amazoned?

Rick Roche, a managing director at Little Harbor Advisors, separates fact from fiction and hype from reality. Learn how asset managers are deploying algorithms and advanced statistical modeling to classify and monetize varied and differentiated sources of potential alpha. Although quants have not taken over Wall Street (not yet, anyway), you may be surprised to hear just how widespread automated trading systems (ATS) and algorithmic investing are being deployed in today’s equity markets.

He also touches on who some of the largest practitioners of quantitative investment management and emerging players in the quant investing space are. Increasingly, asset managers are combining human and machine intelligence in the investment decision-making process. There’s a virtual arms race fueled by 500+ alternative data set and tech vendors frantically hiring data scientists, computer engineers and math PhDs. No previous experience required!

Come 2019, the CFA Institute will address emerging FinTech applications by requiring exam takers to have a basic understanding of artificial intelligence, big data and robo-advisory algorithms.[1]

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.

The call is moderated by Robert Akeson of Mirae Asset Securities (USA)