Brendan has spoken on some of the biggest fintech stages in Amsterdam, Bangkok, Chicago...
… and, of course, in recent years on any number of webinar platforms. He can also deliver credit strategy sessions from 3 hours to 3 days, depending on how deep you want to dive.
You can book him for your own event by using the form below.
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Latest Episodes
I mean, everyone has to renew their motor insurance every year and you have to go through those 60 questions every year, and in between three different platforms in trying to find a comparison, find the best quote for you.
And that was the frustration when I had to deal with those things.
After having been in events for over a decade, I had worked on events that talked about technology and yet, as far as using technology for the event itself, I felt that there was a bit of a gap there.
And so then when I saw what Fintech Meetup was doing in terms of using technology to maximise meeting the right people or being exposed to the right ideas, you know, I thought that just took that to a new level: it was a financial technology conference that actually used technology.
And so, as an example, we had 4,000 people at the event and we had over 43,000, 44,000 meetings scheduled!
Part of the reason the product's flourishing is because of these qualification processes. What we're looking at is the asset, right?
What's the value of it today? How much is that mortgage? How much equity is there in it? Once we can establish that, then we start actually looking at the homeowner.
It's far less restricted because there's no monthly payment.
We’ve just surpassed two billion in debt facilities on our platform. Now, that number itself does not mean a lot to me, because there's some facilities that are huge, others that are small, right? And the complexity might be totally different.
We have some customers where it's huge facilities, but it's fairly simple stuff like auto loans, and then one of our smallest customers, they do income share agreements for students internationally. It's a crazy, complicated interest calculation.
It's hundreds of thousands of data points every hour that we process. So that's incredibly challenging from a tech perspective. So the number is good. It's impressive. It shows that we are being trusted, but I'm more excited about the use cases behind that, right?

