‘Putting Theory into Practice – Myths and Misconceptions from the World of Systematic Investing’

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• Chris Longworth - Gam.com
• Wednesday 28 February 2024, 14:00-15:00
• Maxwell Centre.

If you have a question about this talk, please contact Sri Aitken.

Bios:

Dr Chris Longworth is the Head of GAM Systematic and manages the firm’s systematic investment strategies. Prior to his current role, he was part of the GAM Systematic research team where his focus was on the development and enhancement of its systematic investment portfolios. Chris has been heavily involved in the research and review of all aspects of the Core Macro programme since its inception in 2013. His particular research interests include working with novel or alternative data sources as well as applying systematic trading styles to new and unconventional markets. Chris was previously part of the Machine Intelligence Laboratory at Cambridge University, where he obtained MPhil and PhD degrees. He also holds a BSc in Computer Science from Royal Holloway, University of London. He is based in Cambridge.

Guglielmo Mazzola is Head of Systematic Investment Specialists at GAM Systematic. Guglielmo interfaces with clients and GAM ’s distribution team, sharing detailed investment information on our systematic alternative range and related custom client solutions. Prior to joining GAM in February 2022, Guglielmo worked as Senior Portfolio Manager at Tiber Capital LLP , a London-based asset manager specialising in alternative investments and systematic managed futures/CTA. His main areas of responsibility over his ten years included researching, testing, developing and coding new strategies/algorithms, as well as trade execution and portfolio monitoring. In recent years, he led the firm’s business development and distribution activities. From 2008 to 2010 Guglielmo worked for HSBC Bank Plc in Italy (Milan) as an M&A Analyst. Guglielmo holds a BA in Institutions and Financial Markets Management and a MSc in Finance from Bocconi University in Milan. He is based in London.

This talk is part of the Data Intensive Science Seminar Series series.

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