BNY Mellon’s Corinne Neale, winner of the FinTech Person of the Year award, talks about her fascination with cutting-edge IT in an FTF Exchange podcast.
In an FTF Exchange podcast, Corinne Neale, global head of business applications at BNY Mellon Data and Analytics Solutions, reveals that cutting-edge financial technology still fascinates her because of the many answers it provides in anticipation of what industry participants will be asking for.
Corrine Neale, global head of business applications at BNY Mellon Data and Analytics Solutions
Neale is winner of the FinTech Person of the Year award for 2020, which is part of the FTF News Technology Innovation Awards. At BNY Mellon, she leads the development of next generation data and analytics offerings accessed via an open cloud-enabled IT ecosystem.
“It’s not so much the technologies themselves, it’s what they enable. It’s the fact that you can connect more data points to see patterns emerging and to answer questions that before you couldn’t,” Neale says. “So, this is what really fascinates me in the use of A.I. [artificial intelligence] and new technology.”
For instance, many of the latest uses of A.I. and machine learning are helping her and others in the securities trading industry see trends as they are emerging — something that was hard to discern before. “What is driving demand for a particular product? What is the optimum action to take in particular circumstances? And, above all, what am I missing that I am not seeing?” Neale says about these new tools. “So, basically, technology is simply enabling this by processing data faster and that’s what fascinates me about technology.”
Neale has been fascinated by technology for a while. Before joining BNY Mellon, Neale held positions with BlackRock Solutions, Credit Suisse, Fitch-Algorithmics, Bankers Trust and served as the president of a financial technology vendor IQ Financial Systems Singapore, which was sold to Standard & Poor’s.
In the podcast, Neale covers her time at IQ Financial Singapore, her client-driven process, the wonders of machine learning, how clients react to cutting-edge IT, industry pushback, and how to persuade skeptical-but-interested asset managers to give cutting-edge data and analytics tools a try.
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