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It’s here now and being used to make good banks better — whether to eliminate discrimination in lending decisions, add stability to existing screening systems or drive loan growth and profits. Ensuring Inclusive Banking. He said everyone in banking — from small credit unions to giant U.S. 15M In New Funding .
But it occurred to them that their solution was useful outside of HR — and that many of the things that made someone a good hire of over time could also make them a good creditrisk over time, if the artificial intelligence (AI) model they were using to screen with were modified to that task.
Whether it’s decisioning models used for fraud, creditrisk, customer operations or marketing, AaaS can be a powerful tool in helping a company address whatever it is trying to solve. Whether that decision flow is around marketing, creditrisk, customer operations and retention, etc., The “Buy Vs. Build” Decision.
It’s a town of about 4,000 people, so exposure to markets or investment banking or any of the careers in finance was not something that you really envisioned. It was at Bank One, at the time. RITHOLTZ: There’s always risk involved with counterparties …. BITTERLY MICHELL: Always risk. I was econ and kind of geeky.
In fact, I was going to be a strategist, financial analyst to work for a bank and write research reports. And the ability to say, gosh, you know, there’s a lot of stuff in fixed income, that for a variety of reasons, central bank owns it, a pension fund owns it, insurance companies own it. RIEDER: Right. It has no value.
And you had to take on significant duration risk and creditrisk just to earn a couple percentage points. And I’ve had people stop me, even at Vanguard, in the hallway and say, “Wow, I didn’t realize that I’ve been leaving this much money on the table by keeping a sizable amount of deposits at my bank.”
The challenge is unlike the S&P 500, hedge funds sit in a box that has underlying creditrisk from prime brokers. So the credit markets froze. RITHOLTZ: So hold the duration risk aside with those two, but just for an investor in treasuries, I know you’ve done the math before. How would you have done?
And up until that moment in time, we didn’t spend a lot of time on creditrisk in mortgages. We didn’t really have to model creditrisk because that was, that risk was taken by the agencies. But in these private labels, you had the, the market was taking the creditrisk.
Jeffrey Sherman : Well, what it was was, so I, as I said, with applications, there’s many applications of math, and the usually obvious one is physics. Barry Ritholtz : It seems that some people are math people and some people are not. The, the math came easier. And I really hated physics, really. It’s so true.
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