Remove Credit Risk Remove Leverage Remove Math
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Letting Go Of ‘Set It And Forget It’ Decisioning

PYMNTS

If a business doesn’t have the robustness in terms of data sets, the data scientists needed to analyze that data or even the technology infrastructure to run analytics properly and perform real-time decisioning in house, then they may be better off leveraging the scale of a platform that does. The “Buy Vs. Build” Decision.

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Transcript: Rick Rieder

Barry Ritholtz

You know, people are comfortable, leverage builds. But there are so many tools at your disposal, and let alone how much duration you’re taking, how much interest, how much credit risk you’re taking, illiquidity, et cetera. You know, the leverage in the system builds. What’s that process like?

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Transcript: Kristen Bitterly Michell

Barry Ritholtz

And so, with this gave me exposure to everything from investment banking to retail, looking at like checking account campaigns, like how do you get more assets in the door to credit risk. I — I loved math, but really, I was going to go down that literature route more than anything else and — and study Spanish literature.

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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.