Oscar Koster and big data scoring for thin-file consumers
There's a whole bunch of people out there where the traditional model doesn't work, there simply isn't enough information on these people to make a reasonable credit call...
This is a space where lots of people are working, but very few people can claim results. Because this is also the sort of space where lots of AI propellerheads think they can crack the problem. To some extent, that's true. This is also the classic case where progress is both hindered and aided with experience. It's actually good that some youngster on a beanbag, with long hair, thinks about this stuff completely unhindered by any previous industry knowledge, because that's anyone with too much experience probably thinks too much inside the box. At the same time, with something like credit, you do need to have some other people in there who can say, 'well, yeah, that's cool but you need to take these following five things in'.
That doesn't mean that the thinking needs to be restrained, but someone needs to make it practical in the end. To simply let the same space cadets go mad on this is likely to land you in a heap of problems, if you don't actually understand the lending industry.
Zhong Liu and Ruifeng Liu give us an insider’s view of the Chinese consumer credit economy
It's not the only that the banks won't give the card to them, because they are too young, they don't have enough income, or things like that, they just don't want to go through the more tedious process to get a credit card… now you don't need to go to any banks, you don't need to produce any documents, and you can get a loan in maybe a couple of seconds.
Georg Steiger is using BNPL to expand access to credit in the Philippines
We are always on the lookout for new data sources, or external providers, and whenever we see something that's interesting, we test it… In the end, it comes down to what can we pay per gini point of lift?

