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Irene Aldridge on Big Data's Potential Impact on Market Stability & Trader Profitability
Episode 14118th January 2021 • Crypto Current • Richard Carthon
00:00:00 00:26:20

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Irene Aldridge joins us to discuss how Big Data can have an impact on the market stability and trader profitability.

Irene Aldridge is a co-author of “Big Data Science in Finance” (with


Marco Avellaneda, Wiley 2020), an internationally-recognized


quantitative and Big Data Finance researcher, Adjunct Professor at


Cornell University and President and Managing Director, Research, of


AbleMarkets, a Big Data for Capital Markets company. She was named to


the Forbes’ Top 40-Over-40 Women’s List in 2017. Prior to AbleMarkets,


Aldridge designed and ran high-frequency trading strategies in a


$20-million cross-asset portfolio. Still previously, Aldridge was, in


reverse order, a quant on a trading floor; in charge of risk


quantification of commercial loans; Basel regulation team lead;


technology equities researcher; lead systems architect on large


integration projects, including web security and trading floor


globalization. Aldridge started her career as software engineer in


financial services.


Aldridge holds a BE in Electrical Engineering from Cooper Union, and MS


in Financial Engineering from Columbia University, and an MBA from


INSEAD. In addition, Aldridge studied in two PhD programs: Operations


Research at Columbia University (ABD) and FInance (ABD). Aldridge is the


author of multiple academic papers and several books. Most notable


titles include “Big Data Science in Finance” (co-authored with Marco


Avellaneda, Wiley, 2020), “Real-Time Risk: What Investors Should Know


About Fintech, High-Frequency Trading, Flash Crashes” (co-authored with


Steve Krawciw, Wiley, 2017), “High-Frequency Trading: A Practical Guide


to Algorithmic Strategies and Trading Systems” (2nd edition, translated


into Chinese, Wiley 2013), and “The Quant Investor’s Almanac 2011: A


Road Map to Investing” (Wiley, 2010). Her recent academic publications


include “Neural Networks in Finance: Design and Performance” (with Marco


Avellaneda in the Journal of Financial Data Science, 2019), “Big Data in


Portfolio Management” (Journal of Financial Data Science, 2019), “ETFs,


High-Frequency Trading and Flash Crashes” (Journal of Portfolio


Management, 2016), and “High-Frequency Runs and Flash Crash


Predictability” (Journal of Portfolio Management, 2014). Aldridge


presently serves on the Editorial Advisory Board for the Journal of


Applied Data Science to Finance.


View this episode on our website here.


*Disclaimer. Richard Carthon is the Founder of Crypto Current. All opinions expressed by members of the Crypto Current Team, Richard or his guest on this podcast are solely their opinions and do not reflect the opinions of Crypto Current. You should not treat any opinion expressed by Richard as a specific inducement to make a particular investment or follow a particular strategy but only as an expression of his opinion. This podcast is for informational purposes only.

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