2021-03-03
Biography
Irene Aldridge is 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. Prior to AbleMarkets, she 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 a software engineer in financial services. Irene is a co-author of “Big Data Science in Finance”
Schedule
Irene Aldridge is often invited to speak at conferences, corporate events and other content-driven gatherings. Fall 2021: Cornell University, Big Data in Finance Fall 2021: Cambridge University (UK), Big Data with Python for Finance Fall 2021: Cornell University, Python for Finance November 30, 2021: “Using AI to find value in flawed data”, International Association for Quantitative Finance (IAQF) November 30, 2021: Deeptech panel, Family Office Conference, Miami, Fl December 9, 2021: 9th Annual Big Data Finance Conference, New York, NY January 27, 2022: Emerging Tech panel, Sixth annual Kenan Institute Frontiers of Entrepreneurship Conference, Palm Beach, FL. For past events, please click here. Related Posts: Big Data
Books
Irene Aldridge is a prolific author. Explore and buy her titles here. Related Posts: Big Data vs. Machine Learning vs. Artificial… The Cutting Edge of Financial Innovation Is Here How Google and Facebook Research Drives Much of Big… Institutional Activity and Aggressive HFT Dynamics… Use Neural Networks to be more Precise in Technical Analysis How to Portfolio-Manage the Risks of Surging…
News and Media
Irene Aldridge frequently appears on TV, radio and in the press. Related Posts: How Google and Facebook Research Drives Much of Big… Big Data vs. Machine Learning vs. Artificial… Institutional Activity and Aggressive HFT Dynamics… How to Portfolio-Manage the Risks of Surging… The Cutting Edge of Financial Innovation Is Here Use Neural Networks to be more Precise in Technical Analysis