Gal Krubiner
Analyst · UBS. Please go ahead
Thank you, Jency, and welcome to our second quarter 2022 results, our first as a public company. My name is Gal Krubiner, and I’m the Co-Founder and CEO of Pagaya Technologies. Pagaya is a financial technology company built by innovative research team and led by an experienced team of executives with a vision to increase access to the financial products and services through the use of technology. We have seen an incredible growth trajectory since I was started in 2016, delivering consistent network volume and total revenue growths. The second quarter with the record quarter with nearly $2 billion in volume and over $118 million in total revenues. Before we discuss the agenda of our call today, I want to make a moment to thank our incredible team for their dedication and hard work to get us to the point in our journey. This is our first earning call, I would like to spend some time sharing with you an overview information, the business model before discussing our results for the second quarter. Then I will hand it over to our CFO, Mike Kurlander, who will discuss our financial and outlook in more detail, we will then take your questions. Let me begin with some context on the problem we set how to solve. Throughout history there have always been consumers locked out of access to the global financial system due to factors like demographics, such economic status or lack of credit history. Market conditions today are also in the problem. Putting pressure on consumers who need to fund basic needs like buying groceries and getting to work. My co-founders and I recognize the limitation of legacy underwriting systems and saw an opportunity to innovate financial systems with our data-rich proprietary technology. We founded a company with a mission to improve lives by partnering with financial services providers to make financial opportunity more accessible. To do this, we build the platform designed to deliver consistent value for financial institutions, and institutional investors through macro cycles, which ultimately leads to better outcomes for consumers. Let me spend some time describing our business model and how it all works. First and foremost, Pagaya is not a lender or a servicer. We are a B2B2C platform. Sitting in the middle between partners and institutional investors. We enable our partners to provide enhanced access to financial products to consumers and facilitate the deployment of capital on behalf of our investors. When our partners and investor grow, we grow too. It is how it works in practice. First, a consumer submit an application to one of our partners, seeking approval for a loan, our partners, which include banks, fintechs, and other financial service providers send application to Pagaya via and API plug-in to our AI network. As part of the partners’ underwriting process, we provide a fully automated recommendation in real time. The partner then service the loans for the customer. After origination of the loan by the partner Pagaya facilitate the placement of the loan with our long-term institutional investors who have already provided upfront funding for access to that asset. Now, let me walk through the value proposition across our ecosystem. We think about our value proposition as a win, win, win, for our partners, our partners’ customers, and investors. Our partners wins, because they capture more customers. This means incremental fees and revenue streams with limit capital requirements or incremental risks. Since inception, not a single partner to left our network. Our partner customers win too through access to financial products. They benefit from choice of financial institution rather than having to seek out higher cost of alternative elsewhere. Since 2019, we have enabled our partners to originate $10 billion plus in loans to consumers across the country. Finally, our investors win too, as they diversified their investments and gain access to unique asset flow to deploy at scale while optimizing for the return profile. As a B2B2C our main focus is on improving our AI to better evaluate consumer behavior. We have built an entire ecosystem to do this. Our core AI technology is data-rich with proximity 63 million applications evaluated since 2019. Spending multiple channels and utilizing over 16 million trading data points. It’s fully automated, which enables all 260 world-class data scientists to spot trends early and recalibrate in real time. Now, I would like to turn to our financial results for the quarter. We are very proud of our second quarter financial results. We have achieved network volume and total revenue growth every quarter since inception. In the second quarter, we delivered the roughly 80% growth year-over-year in both network volume and total revenue, and another quarter of positive adjusted EBITDA. This was driven by faster growth in our newer products, including auto loans, credit cards, and single-family residential, and continued strong growth in our personal loan product. In terms of partnerships, growth was mostly driven by expansion of existed partner relationships. Now, let me turn to our operating highlights for the quarter. Our business continue to demonstrate very strong momentum with continued strong application flow and expansion of existing partnerships with new programs. We are also pleased to announce that we onboarded a large U.S. bank in the second quarter with over $100 billion in assets as a major partner for our auto product. On the funding side, despite increasingly challenging market conditions, we raised approximately $1.8 billion in capital across diverse funding sources. I’m also happy to highlight the latest addition to our leadership team. Our new President, Ashok Vaswani, former CEO of Barclays Bank UK, and former CEO of Citigroup Asia, bringing over 30 years of financial services experience. Last but not least, we successfully completed our public listing on the NASDAQ in June. This was a critical milestone in our company journey, but it’s only the beginning. The transition created $290 million of net profits, giving us the capacity to scale for future growth. I would like to spend time now illustrating why our business model positioned us to drive stable growth over time. First, we have a differentiated funding model that limits balance sheet utilization. Second, our fully automated data-rich AI network is able to better evaluate consumer behavior, enabling us to spot trends heavily and react quickly. Third, our AI capabilities allow us to drive growth for our partners through macro cycles. For example, when credit conditions are tight, we see increased application loan for our partners. Allow me now to double click into each of these factors. First, our funding model, we believe that our upfront funding model is more capital efficient than traditional models. To illustrate here is how it works a step by step. First step, the Pagaya raises cash in a financing vehicle. So cash profits sits in a vehicle waiting for Pagaya AI selected network volume to be acquired based on the vehicle criteria. Second step, Pagaya AI enables our partners to originate the loan through our network. Finally, which is step three, Pagaya facilitate the placement of the loan into the financing vehicle. Important to note that given the construction of our funding model Pagaya has limited inventory risk, defined as having to inventory loans on our balance sheet. Throughout this process Pagaya sits in the middle as a neutral player without direct exposure to the assets acquired through our network. Our partners [indiscernible] our investors own the underlying assets. This allows Pagaya to operate with a minimal balance sheet, further protecting us from the impact of macro volatility. Moving to Slide 14. On the left hand side, you will see that we have been able to consistently raise capital over the past several years, we raised over $10 billion since the beginning of 2020 across a diverse set of funding sources, including public capital market through ABS and our private managed funds. On the right hand side, you can see our funding model at work using an illustrative $1.2 billion transaction. What you see is at T+0 [ph] in January, there is cash sitting in a vehicle. Loans are then being placed into the financing vehicle over the course of five months, by raising funding up front, we can optimize retail for our investors by having flexibility and control over the go-to-market deployment timing across different channels. For example, in the market environment today, we can offer investor a way to access capital market to capture very unique opportunities. Some of our more recent transactions speak to the resilience of our funding model and the trust our technology capability. We issued $1.6 billion of ABS in the second quarter in challenging conditions, and recently priced a $1 billion transaction in July, which was upside from a $400 million due to the strong investor demand. As I mentioned earlier, our AI-technology evaluates consumer behavior better than traditional models. Additionally, our key differentiator is our unique vantage point. Our connectivity to multiple channels across the lending ecosystem enabled us to spot trends early and to adapt quickly. A prime example of this occurred in the fall of 2021, when our models were able to pick up on changing macro in consumer indicators in the personal loan market. The graph at the bottom left illustrate personal loan, 30 plus day delinquencies from monthly cohorts of Pagaya production from October, 2021 to March, 2022. Each line represent a monthly cohort of production. We optimize our models in the fall of 2021, which resulted in a decline of over 130 basis points in delinquencies in the three months after origination. On a relative basis, the graph on the right represents Pagaya production versus and market level unsecured consumer benchmarks. There are two main takeaways from these graph. One, for Pagaya Technologies hasn’t continued to demonstrate an edge versus the market during both good and bad times of credit performance. Second, our ability to realize trends early and adapt quickly versus the market can be seen at the growing deviation of delinquency trends beginning in Q4 2021. Now on the partners side. I would like to walk you through a quick case study on how we enable growth through macro cycle giving our technology and funding capabilities. In the third quarter at the height of the COVID pandemic, liquidity dried up and many originators frame the [indiscernible]. In this example, we grew from 2% to 33% of the partners’ originations. Furthermore, in 2021 the liquidity constraint is we drop 37% of the partner originations. This is a testimony to the strengthening of our partnership overtime as we demonstrate our value through cycles. In today’s environment, we increased market volatility in the first half of 2022; there was an acceleration of application flow through Pagaya’s network. As you can see, we experienced 60% growth in application flow from our top three partners year-over-over as the second quarter of 2022. Now, let’s put all of it together. We have built a business model that consistently add value in both stable times and challenging times, through the benefit of AI-intelligence and a unique funding factor. In our business, stable and challenging times are typically defined as differences in market liquidity. The graph on Slide 17 illustrate Pagaya’s network volume conversion ratio, and community application received over three different pivots, two defined by liquidity constraint, and one without. Application flow consistently grew while conversion rate fluctuates depends on market condition resulting in a growing network volume over time. As you shown when credit conditions are tight and liquidity is constrained, our product is an even greater demand by our partners who typically increase the amount of applications sent to Pagaya. This allows for an even greater ability to be more selective in terms of risk reward thresholds, while maintaining network volume growth. In stable times, we benefit for more favorable credit and liquidity conditions that support further scaling of partnerships and products resulting in accelerated growth in network volume. Now, let me talk a bit about our future growth trajectory. We have a massive one way ahead of us, and almost all of our efforts across the organization are focused on execution. First, the total addressable market across personal loans, auto loan, credit card and real estate is in credence [ph]. We have added one new market since 2018, but we are capturing less than 1% of the total opportunity today. We have significantly scale our personal loan business since 2019. Now making up roughly two-third of our annual volume. Our other products are seeing rapid growth, growing strong double-digits into the second quarter. We are driving continued momentum with our existing partners, expanding into new channels, program launched in the first half of the year contributed roughly 7% of our network volume in the first half. That being said the most substantial opportunity ahead of us is partnership with big banks in the United States. The top 25 largest banks in the U.S. are present over $650 billion in annual volume. By capturing even a small slights of this opportunity, we can reach our medium term growth ambitious. Let me now hand it over to Mike, who will discuss our second quarter results and our 2022 and medium term outlook. Mike?