Irene Aldridge on Big Data's Potential Impact on Market Stability & Trader Profitability

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” (withMarco Avellaneda, Wiley 2020), an internationally-recognizedquantitative and Big Data Finance researcher, Adjunct Professor atCornell University and President and Managing Director, Research, ofAbleMarkets, a Big Data for Capital Markets company. She was named tothe 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, inreverse order, a quant on a trading floor; in charge of riskquantification of commercial loans; Basel regulation team lead;technology equities researcher; lead systems architect on largeintegration projects, including web security and trading floorglobalization. Aldridge started her career as software engineer infinancial services.Aldridge holds a BE in Electrical Engineering from Cooper Union, and MSin Financial Engineering from Columbia University, and an MBA fromINSEAD. In addition, Aldridge studied in two PhD programs: OperationsResearch at Columbia University (ABD) and FInance (ABD). Aldridge is theauthor of multiple academic papers and several books. Most notabletitles include “Big Data Science in Finance” (co-authored with MarcoAvellaneda, Wiley, 2020), “Real-Time Risk: What Investors Should KnowAbout Fintech, High-Frequency Trading, Flash Crashes” (co-authored withSteve Krawciw, Wiley, 2017), “High-Frequency Trading: A Practical Guideto Algorithmic Strategies and Trading Systems” (2nd edition, translatedinto Chinese, Wiley 2013), and “The Quant Investor’s Almanac 2011: ARoad Map to Investing” (Wiley, 2010). Her recent academic publicationsinclude “Neural Networks in Finance: Design and Performance” (with MarcoAvellaneda in the Journal of Financial Data Science, 2019), “Big Data inPortfolio Management” (Journal of Financial Data Science, 2019), “ETFs,High-Frequency Trading and Flash Crashes” (Journal of PortfolioManagement, 2016), and “High-Frequency Runs and Flash CrashPredictability” (Journal of Portfolio Management, 2014). Aldridgepresently serves on the Editorial Advisory Board for the Journal ofApplied 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.~Put your Bitcoin and Ethereum to work. Earn up to 12% interest back with Tantra Labs~New to crypto? Check out our