Okay, so I knew that if Nigeria was going to grow and the middle class was going to emerge, there has to be a credit culture, right?

And I knew that one person wouldn't be able to do it. One lender wouldn't be able to do it.

Because when you look at Nigeria and look at why credit doesn't work, you need to understand that is a lack of consequences that killed credit. In Nigeria today, if you took money, and you don't pay it back afterwards, nothing happens to you. Now, one of the things that Lendsqr is doing is that, by having a technology driven consequences, then that problem is going to go away.

One of the key highlights for me is not necessarily something that you see in the impact report and on the first paragraph, but what do you do, for example, with war in Ukraine, and I remember that we had a project life funding, Mikro Capital Moldova, microfinance institution in Moldova. And I think we'd launched it on like a Sunday and Monday morning, the Dutch national news broadcaster as a headliner, will Moldova be next? Right?

That's not the greatest marketing for an investment product that you can get. And so we had an internal discussion, right? Do we pull the project off the website, because we always have to weigh investor risk versus what we think is right, the right balance for our crowd.

And we actually decided to leave it on there, but to allow all the initial investors already in there, we send them a message, we updated the project description that they could get their money out if they want, but we will keep the project on. And actually, it was one of the fastest funded projects on the platform for this company.

The paradigm of 'let's collect as much information on a customer ahead of time, try and score them, and then provide them with an unsecured product'. We just don't think that works as well as putting an asset in someone's hands, asking them to pay a small deposit. And knowing that once they have access to that smartphone device, it's actually going to improve their ability to make a living. It helps them power the hairdressing salon and helps them advertise their business on WhatsApp, you're actually improving their ability to earn a living and also then to pay back the instalments just a much more compelling and sustainable model for working in the markets where we want to have an impact.

I mean, behind this there is a very sophisticated predictive credit model and we make adjustments all the time to pricing and instalment plans, and we have a lot of investment on the connected estate IoT side. And our loan book actually has been remarkably consistent. And particularly when it looked over the last three years, despite massive disruptions, and it's also been resilient in the face of high inflation.

What happened was that, when we started providing the service, we guarantee the bad debts in the service. And that's why we start actively use different kinds of analytics to develop the different kinds of scoring systems. And these scoring systems will work very fast on the fly will make the scoring on the fly. We start from the basic one, and then we start to improve it till we now use machine learning for our scoring.

The technological approach for this task grows year by year.

In the first three days we provided over 700 credits in Azerbaijan with our first operator - we were not expecting such success.

We're talking in India of about over 50 million customers. So numbers are huge.

And this is only in India we're talking about. But even here, in Canada, also, you have some microfinance, a lot of people are involved in this. And there's some very large institutions in India, which does this.

And I happened to be in a room where there was, I guess, $3 billionaires. And I said to myself, 'why am I a room full of Nigerian billionaires celebrating Nigeria, and the only thing I have to offer them is other people's businesses to invest in, right? Like, why don't I have a business for them to invest in? Why don't I have more equity in the things I'm doing?

I was very young. I was very hungry. So, knowing that, I wanted to have a deeper and richer relationship, I then presented an opportunity to the firm I was working with and to other investors, and I said, hey, I want to do this thing, this is a business.

What we do see is, working with larger providers, a real growth in adoption. If I think about the three months worth of data, live data, that we've got in the bureau - so December into January and Feb - interest free, predominantly online, for a term of no more than three months. There we see 3.8 million unique customers.

A big number, right? And they've made 50 million transactions, spending almost 20 million pounds. And it's not just your Gen Z. It's not just your Millennials, it's across all demographics.

And actually the fastest growing demographic is the 35 to 44 age band. Suddenly, I'm now just outside of that, but it's reflecting the point of becoming more mainstream, right? This is established, right? It's here to stay.

We have a lobster-catching business in north Wales, and it's a story about a guy who was a scuba diver in Thailand and came back to be with his family and wanted to start a lobster-catching business and needed some money for some nets and lobster pots.

And it's like, yeah, ‘people helping people’, it still hasn't really changed from that. I just think, you're gonna see projects funded that are really organic and natural.

85% of folks have bank accounts, but only about 20% of them actually use the bank (for borrowing). They rely on other forums to meet their financing needs. These guys don't have access to credit.

As a startup, when we launched back in 2018, the lending market in Sri Lanka was $5 billion - and what we understood this from this 5 billion requirement, almost 40% relied on loan sharks and individuals who have very dubious practices of charging excessive interest rates, as well as very unpleasant collection methods.

And coming from a tech and a finance background, we realised there might be a potential for us to provide credit underwriting through a blockchain solution.

The market changed completely.

Certainly the processing time for applications, whether it's cash loan mortgages is reduced significantly - I'm talking about Poland, but in fact, these are the processes that I'm seeing across Europe, it's pretty much the same way that everybody's taking but some countries it takes longer time than others to to do that - but the market is now undoubtly very heavily regulated by the Polish regulator and most of the sector is subject to supervision.

How do we let brands get in front of first party data customers with the highest intent the world has ever seen? I mean, our click to sales ratio is 55%.

Brands are paying billions in marketing budgets, so that you can see the advert you then clicking the advert getting to their site or going to their store pulling your credit card out and paying billions in interest and fees to credit card companies to buy the products.

What we've done is we've sort of said, why don't we circumvent the middleman? Why don't we let brands rather pay our customers? In other words, use the brand's marketing budget to subsidise the cost of credit to our customer, and convince our customer to buy from that brand.

The whole equation makes more sense. The customer has more sustainable buying power, because the brand is subsidising the cost of credit to the customer. So the brand can make a sale.

A broader philosophy could be formulated as working together in order to achieve better decisions. And as Jonathan mentioned earlier, these decisions should lead to fairer and more inclusive financial services and the world in general.

I think the topics of the past conferences and the forthcoming talks really reflect this focus on the final objective.

Yeah, of course they are are many purely technical talks about the new machine learning methods and new sources of data. And of course, you can't build credit scoring models without technology and without data. But there will be also papers focusing on fairness, my direction of research, financial vulnerability, affordability, over-indebtedness... climate risk is becoming a huge topic recently.

It's all sorts of facets of establishing a life in a new country: it's renting a property, you need a credit history to be able to rent a property. If you haven't got a UK credit history, you have to pay six months rent upfront, or find a UK guarantor. So obviously, both of those are just unpleasant experiences.

And mobile phones, we did some research recently with over 1,000, new to country people. And over two thirds want a mobile phone immediately. But again, they need to do a credit check. So they won't be able to get a contract, they'll just get paid you go or ceremony or something like that. So they'll suffer on that.

And what influenced the interest rate is really, first, the inflation and then the unemployment rate. The good news is in the US and Canada, the inflation has peaked from the six months ago, they gradually come down - inflation in the USA right now is around 6%; inflation in Canada, just above 5%. For the unemployment rate, both countries have the numbers at historically low. So good fundamentals. The interest rate hike period is probably near the end, that's the signal from the latest Fed meeting. Actually, Canada already paused once in the March meeting as well.

But obviously, we will see some credit normalizations which means the other risk metrics will go up because we saw that the early stage roll rate began to trend up. But again, when you look at the trajectory, it just goes back to three years ago, right, before the pandemic, so I think fundamentally it's still sound.

Custom Credit was really set up with three mission statements in mind - we always are asking ourselves, does this move us closer to this or further away - and that is (1) to become the most customer centric FinTech in the UK, (2) is to ensure our colleagues better reflect our customers, and (3) to improve financial literacy, both in terms of our customers and the broader community.

I think the product itself is tailored and custom. But to achieve that, the way you score and assess risk needs to be tailored and custom, that's often where the problem is with these other kind of flexible payment lenders, most lenders will make a decision on on affordability based purely on averages to estimate your your expenditure. They will use a combination of the information you've provided to them, and an indicator from the credit reference agencies.

People with very different spending profiles and very different income profiles effectively could be judged to having the same level of affordability. So we've actually taken a different approach in that, initially, all of our customers will have to provide open banking data.

What we're doing is actually really, really complicated, but you can ingest this data and then give it to the bureaus and you know, the keys format, the Insight format, depending on which Bureau it's obviously a very hard thing to build. But imagine if that real time flow of data via an API became something the bureau started to ingest direct from the API.

Step one is to simplify the integration, simplify the reciprocating of data create a common standard, but eventually I think TransUnion, Equifax, and Experian should become real time networks. You know how many customers have a buy now pay later player goes to all the other BNPL players and borrows money in the same month. And if bureau data is stale by a month, two months refreshed once a month, that doesn't get caught in the system, right?

So even though more small businesses are being formed, traditional banks are lending less to them in terms of loan volume.

And that started to get me thinking about how I might join a startup or another company that was trying to solve this problem. I looked around a lot, and I didn't see anyone that was solving in a way that I thought was really equitable.

It's funny, I talk to a lot of entrepreneurs, people that need to be their own boss ,that feel really compelled to go out and start a company. That was not me, I was a very happy cog in the wheel. I enjoyed working in corporate America, I enjoyed working in a midsize startup. And really, it was just kind of an alignment of my passions, and a problem in the industry that I saw that no one was solving a really satisfactory way. And some good mentors that pushed me into to take that leap and jump into the entrepreneurial world.

The challenge, of course, is that people forget the answers to those questions, and also a motivated fraudster can go ahead and find the answer in many cases through different methods. And you do actually see that in some cases, you get organisations like Equifax, that can go a little bit deeper, they can do what's called dynamic knowledge based authentication and maybe they can look at your bank statements and ask you have you done a transaction for this amount on a certain day? Or how much do you pay against your mortgage each month, etc. and that's a little bit better.

But ultimately, people often don't get those questions right, especially when it's on the spot.

So the approach we took was to say, what is something that you should know, that you should always know you'll never forget, that we can present to you that isn't just memorable, but it's also frictionless or very easy, and in some cases, enjoyable for you to do. And we took this concept of, okay, if you live at a certain place, or you know, a certain area, then why don't we go ahead and grab different images from that area. And we're talking Google Street View images, in many cases, these are images that aren't easily searchable, you'd have to walk around and try and get to know a place if you're going to do it yourself.

And then the credit scoring engine started taking shape. And over, you know, Covid, after Covid, we started bringing defaults down from 50 to 40, 40 to 30, 30 to 20, 20 to 15. And then, you know, the tougher bit came because it was not only about the credit scoring, it had to be a lot of engineering, then it's about the experience of the consumer, how is the product structured, you know, the first interaction of the consumer with the company till after he or she has repaid, everything matters. How the lead generation happened, how is the customer support interacting with the customer, or what has been experienced in app, what is experienced at the point of repayment, you know.

We've seen many times if the customer faces challenges in repaying whether or not it was our issue or an issue at the wallet side, the customers could turn rogue.

There was so much to it that we learned over time. And you know, when we actually closed our lending book pre-acquisition, the latest cohort actually close it under three per cent default

As we grow Smarter Loans, both Raf and I we're also learning about the lending industry and understanding that there's a lot more to it than just personal unsecured loans, than just unsecured business loans. So we started developing relationships, and then that got turned into motorsports and farming and equipment financing and buses and coaches. And today we have people financing aeroplanes and aviation. So it all grew over time.

And now if you look at it, yes, that's how we're able to say 60 lenders because they represent different verticals, you know, they're not all in like personal, unsecured loans, they represent a spectrum of different types of products and services.