5 • 2.6K Ratings
🗓️ 17 December 2023
⏱️ 26 minutes
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When you want a model, you typically start with a target variable in mind. But sometimes that's not possible. Perhaps you're entering a new market or expanding into a new niche, you could start lending on a small scale and wait to see what happens. We used to call that a deep risk test, often somewhat euphemistically when a cohort was accidentally approved through a gap in the system. But even if you're happy to take a chance, that takes time - there's no way to shortcut a 12-month outcome.
Enter the u-score, Matogen AI's novel approach to applying an analytical layer to the old-fashioned expert model. In today's episode, I'm speaking to Jacobus Eksteen to learn more about how they did this with Open Banking data from DirectID. This provides a way to jumpstart an Open Banking modelling project, but Open Banking has many arrows in its quiver, so I also speak to Clare McCaffery about the state of the landscape.
Clare is Chief Commercial Officer at DirectID and can be found at https://www.direct.id/
Jacobus is CEO at Matogen Applied Insights and they can be found at https://ai.matogen.com/
And of course, they're both on LinkedIn at https://www.linkedin.com/in/clare-mccaffery-045a7113/ and https://www.linkedin.com/in/jacobuseksteen/
And while you're there, come and find and connect at https://www.linkedin.com/in/brendanlegrange
As mentioned more than once in this episode, my action-adventure novels are on Amazon, some versions even for free, and my work with ConfirmU and our gamified psychometric scores is at https://confirmu.com/ and on episode 24 of this very show https://www.howtolendmoneytostrangers.show/episodes/episode-24
If you have any feedback or questions, or if you would like to participate in the show, please feel free to reach out to me via the contact page on this site.
Keep well, Brendan
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0:00.0 | A year ago I had to sleep wherever I could. I thought well I'll be out here on Christmas Day. |
0:07.0 | Thousands in the UK are facing homelessness this Christmas. |
0:11.0 | At crisis I was safe. |
0:12.8 | I had someone in my corner. |
0:15.0 | My first day at crisis was my last day on the streets. |
0:19.6 | Give £29.73 now to help provide urgent care, housing advice and long-term support. |
0:25.7 | Make this the first day of a life beyond homelessness. |
0:28.6 | Search crisis Christmas appeal. I have a relative who has just gone off to university and he says to me I don't |
0:36.7 | understand I have to take credit out to get credit why don't you just look at my |
0:40.9 | bank statement you can see how I'm behaving. |
0:43.6 | Well, that's great. |
0:44.7 | That's exactly what we do. |
0:46.4 | A direct ID, we focus on categorizing transactions |
0:50.8 | that are a particular interest to risk decision makers. |
0:53.6 | So what we were able to do is to reach the gap from unsupervised learning, |
0:58.1 | we don't have any labels to supervised learning, we do have a label. So the ideas lenders can use this from today already and make a decision and set their cutoffs. |
1:09.0 | But we are also busy gathering more and more performance starter. |
1:13.4 | And with a performance starter we can build a next iteration of the model. |
1:17.0 | I'm going to be honest with you. It's the end of the year and I'm pretty tired. |
1:26.0 | I produced this show alongside my real job, alongside speaking and consulting and training work, |
1:32.0 | alongside my wife's new job and her new master's degree |
1:35.6 | and alongside the seemingly ever-growing pile of admin that accumulates. |
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