Fintech One-On-One

Chris Walters is the CEO of Finastra, one of the largest financial software companies in the world, serving over 7,000 banks globally including 45 of the world's top 50. He joined the company a little over a year ago, bringing an unusually broad background spanning consulting, Bloomberg, The Weather Company, and several other technology businesses. This is a wide-ranging conversation about where Finastra is headed and why the conventional narrative around AI and software disruption misses something important.
What We Covered
Chris's path from consulting to Bloomberg, The Weather Company, and beyond
What attracted him to Finastra and the perception versus reality gap he set out to close
How he spent his first 90 days listening to customers and internal teams before deciding direction
The portfolio narrowing strategy, including divestitures of Treasury, Capital Markets, and student lending
Finastra's core focus areas: lending, payments, and universal banking
Growth vectors within an existing base of 7,000+ banks, including geography expansion, cross-sell, and data
The AI center of excellence and why dedicated ownership changes the pace of deployment
Internal AI use cases: an HR chatbot and automated sales approvals
Operator Assist, a new product that uses AI to surface and resolve failed payments
Agentic AI in mortgage origination, targeting documentation discrepancies
Why Finastra views AI as a growth accelerant, not a cost-cutting tool, and why not all software faces the same disruption risk
Community bank caution around modernization and why the economics will eventually force full core replacements
Key Takeaways
Companies that are systems of record with long-duration enterprise agreements are far less exposed to AI disruption than the public markets currently assume. The distinction matters, and Chris makes a clear case for why Finastra sits in the less-exposed category.
Dedicated AI ownership changes everything. Spreading AI enthusiasm across everyone's partial attention generates ideas but not scalable execution. The center of excellence model exists precisely to fix that.
Community bank core modernization is inevitable but slow. The banks most likely to win that market are those that can make transitions nearly frictionless, not those with the most advanced technology.
At $7 trillion in daily payments routed through Finastra's systems, the probabilistic nature of LLMs is not a minor technical detail. Chris's post-recording observation about where AI fits and where it doesn't is one of the more clear-eyed takes you'll hear from a CEO in this space.
About Chris Walters
Chris Walters is the CEO of Finastra, which he joined a little over a year ago. Before Finastra, he held CEO and COO roles at a range of public and private technology companies, including The Weather Company and a public wealth management and software business. He also spent seven years in consulting and held senior roles at Bloomberg.
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Ali Niknam is one of fintech's most unconventional founders. He built multiple unicorns before turning his attention to banking, then self-funded Bunq with nearly €100 million of his own money before taking a single outside investor. That conviction paid off: Bunq posted €85 million in profit in 2024, putting it in rare company among European neobanks. Now, having applied for a US national bank charter, Ali is setting his sights on the most competitive banking market in the world.
What We Covered
Ali's background as a three-time unicorn founder
Self-funding Bunq with nearly €100M before taking outside investment
Pursuing a greenfield banking license, the first granted in the Netherlands in 35 years
Why Bunq launched with a paid subscription model when everyone else was going free
Bunq's core user base: digital nomads and cross-border travelers
International expansion across the European Union
Applying for a US national bank charter and dealing with three regulators
The philosophy behind building a bank people actually trust for day-to-day use
How AI powers transaction monitoring, real-time translation, and marketing at Bunq
Why Bunq describes itself as the first Gen AI-powered bank
The personal CFO vision for the future of banking
What an AI-native bank looks like five years from now
Key Takeaways
Starting with a paid subscription meant Bunq only attracted users who genuinely valued the product, building real engagement rather than vanity metrics — and better unit economics from the outset.
Pursuing a full greenfield banking license from the start, while far harder than working around incumbents, lets Bunq compete directly with the largest banks on equal regulatory footing.
AI at Bunq isn't a marketing term. It powers transaction monitoring, real-time multilingual customer support, and marketing automation in ways that materially reduce costs and improve security.
The vision for the AI-native bank is a personal CFO that makes abstract financial goals tangible — connecting daily spending habits to the things users actually want in their lives.
About Ali Niknam
Ali Niknam is the founder and CEO of Bunq, the Dutch neobank. A serial entrepreneur with three unicorns to his name, Ali was born in Canada to Iranian parents and has been based in the Netherlands for most of his life. Before Bunq, he founded TransIP, now rebranded as Team Blue, the world's third-largest domain name and web hosting provider. He is also the author of a book on entrepreneurship.
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Timothy Li, CEO and Co-Founder of LendAPI, has spent nearly a decade trying to solve the same problem: launching a lending product takes too long and costs too much. With LendAPI, he's built a no-code platform that lets banks, credit unions, fintechs, and retailers go from idea to live lending product in weeks, not months or years. Think of it as a GoDaddy-style experience for financial services. Timothy joined me again on the show (he was last on in 2017) to talk about what's under the hood, what the Sunglass Hut deal reveals about embedded finance, and where he thinks AI is actually useful in lending today.
What We Covered
Timothy's path from the Fluid college credit app to building LendAPI
How the drag-and-drop product builder works for non-technical users
Python model deployment for credit risk officers inside the same platform
Winning Best in Show at Finovate
The Sunglass Hut deal and how it came together in three months
Why retailers are moving away from pure-play BNPL providers
Integration options: bank cores, side cores, and direct e-commerce embed
The 300-plus partner marketplace and the SEO strategy behind it
Doc AI and single-task AI agents for document processing and underwriting
Timothy's experience in the CURQL accelerator and how credit unions differ
Teaching FinTech Fundamentals at USC
The five consumer verticals with the most opportunity in fintech
Key Takeaways
The build vs. buy debate is essentially over. When Timothy talks to bank CTOs today, the conversation is "can you launch this next week?" not "should we build this ourselves?" Speed to market has become the dominant concern.
Pure-play BNPL approval rates are outside a retailer's control and can swing 10 points overnight. Private label embedded finance, built on infrastructure like LendAPI, lets retailers and banks own the underwriting criteria and the customer experience, which matters especially for high-ticket items where the financing decision happens in-store.
Single-task AI agents are the near-term opportunity in lending, not fully automated credit decisions. Automating document verification, data extraction, and intake workflows saves minutes per application, and at scale, that compounds quickly.
The five consumer fintech verticals worth building in: mortgages, auto, credit cards and personal loans, payments, and bank accounts. If it's in someone's wallet, there's still work to do.
About Timothy Li
Timothy Li is the CEO and co-founder of LendAPI, a no-code lending platform that launched in 2024 and won Best in Show at Finovate. He previously built Fluid, a credit-building app for college students, and has been building lending infrastructure across multiple ventures over the past decade. He also taught FinTech Fundamentals at the University of Southern California.
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Kareem Saleh is the CEO and co-founder of FairPlay, an AI enablement platform helping financial institutions test, tune, and monitor AI systems in production. Four years after his first appearance on the show, Kareem returns to discuss how FairPlay has evolved from credit model fairness into a full AI enablement infrastructure layer and why the rise of generative and agentic AI has made that work more consequential than ever.
What We Covered
How generative AI changes the definition of fairness in financial services
The shift from model validation to continuous, system-level testing
FairPlay's three core capabilities: testing, optimizing, and validating AI systems
How one customer added one day to their model development cycle but saved 60–90 days in compliance review
The 25–33% of declined applicants who would have performed as well as the riskiest approvals
Why the question for legacy institutions has flipped, from "is AI safe enough to try?" to "is it riskier not to adopt AI?"
The political environment and how fairness demand reconfigures, not disappears, across administrations
State-level regulatory frameworks filling the federal enforcement gap
Kareem's Congressional testimony on AI and algorithmic bias
The agentic AI opportunity in KYC, BSA, and AML workflows
Regulatory look-back risk and why today's decisions can become 2029's consent orders
Cash flow underwriting risks and climate risk as underappreciated threats to credit portfolios
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Most of us assume that major hotel brands have sophisticated financial systems running behind the scenes. In this episode, Jess Conroy, CEO and co-founder of ROH, explains just how wrong that assumption is — and why she's spent the last several years building the financial core that hospitality never had.
What We Covered:
The manual payments problem hiding in plain sight
Why the biggest hotel brands have the biggest challenges
The hidden complexity of every hotel transaction
Why the hospitality industry was overlooked by fintech
How ROH got its start in meetings and events
What "AI-first" actually means at ROH
How ROH fits into the existing hotel software stack
The go-to-market reality of a franchise-heavy industry
A transaction-based model that aligns incentives
Scale and growth: managing over $1 billion across the portfolio
The stale data problem driving bad hotel decisions
The vision: a financial foundation for every hotel dollar
Key Takeaways
Hotel payments are a solved problem almost everywhere except hospitality itself — the industry's bias toward "human solves" left it behind.
The complexity of hotel transactions (variable pricing, upgrades, OTAs, group contracts) makes automation far more valuable here than in simpler retail or restaurant contexts.
Building something that didn't exist before is the hardest sales motion — you're not replacing a known tool, you're educating a market about a problem they've learned to live with.
Year-over-year expansion within existing hotels is the clearest signal of product-market fit — customers keep expanding their use once they're on the platform.
About Jess Conroy
Jess Conroy is the CEO and co-founder of ROH, a financial infrastructure platform for hotels. A second-time founder, she has spent nearly 15 years building in and around the hospitality industry. ROH is currently managing over $1 billion in hotel transactions across its growing portfolio.
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