Mark Casale
Analyst · Deutsche Bank. Your line is open
No, I mean, it can certainly be replicated. It just takes time. Right? So, we started this two years ago, we hired and it came out with one of our larger banks started , I think they had four MIs and they started the machine deciding which MI they were going to pick, it used to be kind of the old allocation method. And as soon as we saw it, we’re like, wow, this is definitely where the business is going. And then in 2019, we were down meeting with the folks at Optimal Blue and they’re a big pricing provider, the MI industry, and prior to that, a loan officer had to decide who are they were going to price, SN or another MI And generally, and a loan officer would have taken say, two or three, MIs right, they’re not going to run all six, it takes a lot of time and also focused on making sure the borrower gets into the right loan. Optimal Blue change that their new system starting, I believe, at the end of 2019, delivered all of the MI pricing back to the loan officer with the two best prices highlighted in green. I mean, it would be pretty difficult to pick your favorite MI rep when, they’re not in green. That just further solidified, our conviction that we needed to get better, at using more information to make a decision. So, we’re giving every lender our best price, not necessarily the lowest price. So the way the model works is yes, we hired folks from the credit card industry. And we got other data sources. And again, we have folks in-house that have had experience in that in developing, LP, and one of the GSEs. So, we use raw credit data, which again, the only folks who use raw data the GSEs. So, we use that to deliver and then run through, I believe it’s over 400 factors now. And that’s really the development of the model that was done in-house, the deployment part of the model is actually interesting, we can now deliver that back to the loan officer and right around three seconds. So again, think of that it’s all on the AWS cloud. So again, this has been the in development and development over the last again, year and a half, probably year and a half, so year and a half, two years is we’ve seriously done and we tested it in the fourth quarter of last year. And we rolled it out to the market in the first quarter of this year.. It’s going to going to take time, it’s actually available today, through Ellie Mae. So if a loan officers pricing through Ellie Mae incompetence, they can access this price. And we have direct integrations with a couple of the larger banks. And we’ll continue to kind of roll that into the market. It’s a difficult market to do, what I mean when some folks are just using bid cards, they’re not – it’s hard for them to say we’re going to use an engine, right. So, we have – so we, 70% of the industry is using engines and that’s really what will morph those into EssentEDGE 2.0 probably over the next 12 months to 15 months. There’s a few bigger ones, again, if more users, I think 50% of our production is through Ellie Mae, but it’s not that simple or to some of the loan officers price to Ellie Mae some use Optimal Blue we’ll eventually work our way into Optimal Blue. So, we’re excited about it. So yes, everything’s, everything can be replicated. So when I say proprietary, it’s mean, we build an in house. We didn’t go hire a consultant to do it. A lot of the skills here, but I do think it is – it’s a clue here, and I’ll give you an example, Phil, we’ve made, again, 10 different fund investments over the last three years, and we have for East Coast funds, three Midwest funds, and three West Coast phones. And like that, you’ve heard me say over the years, I’m out visiting clients, so I’m also out visiting these funds, and some of the companies within the fund. So, we came across a company a couple years ago, that was using, like 1000 vectors. And this was probably – I think it had to be in 2018 or 2019. And I walked out of that meeting with that company going, the technology exists, it never existed in this industry before. Remember, we were just pricing through rate cards, and one provider had an engine and kudos to them for being first to the market on that. But we looked at it saying how can we – do you know exponentially get better than the kind of four, 10 or 12 factors. And there was clear evidence that this company could do it. So we knew the technology existed. So again, a lot of this just spending the time on it continuing to develop that as a proprietary score so it’s an essence risk score, it’s not a FICO score. FICO was developed back in 1989, Phil, it’s never been improved. And it’s just not a great indicator of a person’s ability to pay their mortgage. So again, I would expect the industry’s probably all working on things like this. So again, this is something we’ve gotten and maybe their models already have it for all I know, but I mean, we’re focused on what we can do, and we think we think it’s leverageable. And that’s the thing. We’re learning stuff now around consumers ability to pay and we’re focused right now on deploying it within Essent. But you never know if there’s opportunities down the road for other things.