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Rev 2 'Data Science and the Future of Investing' - Coatue Management & Point72
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Recorded at Rev 2 | May 23-24, 2019 | New York
Thomas Laffont, Co-founder & Sr. Managing Director, Coatue Management
Alex Izydorczyk, Head of Data Science, Coatue Management
Matthew Granade, Chief Market Intelligence Officer, Point72
Panel Discussion - Coatue Management & Point72
Though active asset managers have used quantitative techniques for decades, data science has presented them with new challenges and opportunities. In this session, three leaders representing different hedge fund perspectives join a conversation to answer questions and discuss topics including:
- How are hedge funds leveraging data science to drive innovation and new strategies?
- How are investment strategies in public and private markets changing with the evolution of data science and modeling practices?
- What lessons and concepts from finance firms’ quant research experiences have been valuable to incorporate into the new data science regime? Conversely, what must hedge funds “unlearn” from their past ways of operating?
- What are some concrete tactics and techniques for integrating data science into your fund? Which of those can be applied to businesses outside of the finance sector?
- How to integrate data scientists with traditional analysts and portfolio managers.
Thomas Laffont, Co-founder & Sr. Managing Director, Coatue Management
Alex Izydorczyk, Head of Data Science, Coatue Management
Matthew Granade, Chief Market Intelligence Officer, Point72
Panel Discussion - Coatue Management & Point72
Though active asset managers have used quantitative techniques for decades, data science has presented them with new challenges and opportunities. In this session, three leaders representing different hedge fund perspectives join a conversation to answer questions and discuss topics including:
- How are hedge funds leveraging data science to drive innovation and new strategies?
- How are investment strategies in public and private markets changing with the evolution of data science and modeling practices?
- What lessons and concepts from finance firms’ quant research experiences have been valuable to incorporate into the new data science regime? Conversely, what must hedge funds “unlearn” from their past ways of operating?
- What are some concrete tactics and techniques for integrating data science into your fund? Which of those can be applied to businesses outside of the finance sector?
- How to integrate data scientists with traditional analysts and portfolio managers.
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