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Ford To Use Machine Learning To Assess Credit Risk

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ƒFord Motor Credit Co. the financing arm of the vehicle manufacturer, announced Friday (Aug. 25) that it will implement machine learning credit approval models to determine if it will lend a consumer money as it goes after a segment of the market that doesn’t have a solid credit history.

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Why AI Risk Tech And Banks Could Be A Match Made In Heaven

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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 credit risk over time, if the artificial intelligence (AI) model they were using to screen with were modified to that task.

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Transcript: Kristen Bitterly Michell

Barry Ritholtz

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. And the whole concept of it was why don’t we take Liberal Arts majors, give them on-the-job training, give them exposure to a variety of different areas of banking and finance.

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Transcript: Ted Seides

Barry Ritholtz

The challenge is unlike the S&P 500, hedge funds sit in a box that has underlying credit risk 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?

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Transcript: Greg Davis, CIO Vanguard

Barry Ritholtz

So, started examining opportunities in finance, real estate and insurance. RITHOLTZ: You know, what’s really interesting is everybody tends to think of Wall Street and investing and finance in terms of the investing side. A lot of people in finance have been saying it’s difficult to find people in this environment.

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Transcript: Rick Rieder

Barry Ritholtz

You graduate Emory University with a degree in finance. No, I’m — RITHOLTZ: You beat me by an hour, RIEDER: You know, I think, I would say to young people who come into the business, you know, why are you coming into finance? You know, whereas, parts of credit card, auto finance are more attractive.

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Transcript: Sean Dobson, Amherst Holdings

Barry Ritholtz

And up until that moment in time, we didn’t spend a lot of time on credit risk in mortgages. We didn’t really have to model credit risk because that was, that risk was taken by the agencies. But in these private labels, you had the, the market was taking the credit risk.