Sep 8, 2026 · 17m · top-founders

The Surprising Way This Startup Bank Makes Millions

Oliver Moseni · 10m spoken Nathan Latka · 5m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this interview with Nathan Latka, Froda co-founder Oliver Moseni explains how the European fintech leverages proprietary machine learning underwriting and embedded banking partnerships to profitably scale micro-business lending to an $80 million revenue run rate.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 33.4% of the talking time here. How this is scored →

Nathan as informed peer 6.6 Guest teaching 3.8 Guest disagreement 1.2 Nathan pushing back 3.4
05100:0010:002:35–5:40 · Nathan as informed peer 6/10 Partnering with Traditional Banks and Underwriting Microloans Nathan actively challenges the premise of why a traditional bank with consumer deposits would ever need Froda instead of doing it internally. Oliver explains the unit economics of onboarding micro-loans versus large corporate clients and how collateral requirements differ.5:41–9:41 · Nathan as informed peer 8/10 Loan Portfolio Metrics, Fair APR Pricing, and Default Trends Nathan showcases strong financial expertise, performing immediate portfolio math on loan volume and comparing Froda's risk metrics to OnDeck and U.S. private credit funds. Oliver clarifies their fair lending strategy with a 16% APR compared to predatory MCA competitors.9:41–12:37 · Nathan as informed peer 8/10 Credit Loss Allowances and Machine Learning Underwriting Models Nathan brings up banking regulation specifics, referencing CECL loss accounting reserves, cohort vintages, and credit box thresholds. Oliver explains European buffer rules and how Froda leverages transaction data and machine learning to underwrite risk.12:38–15:06 · Nathan as informed peer 7/10 Capital History, Company Valuation, and Eighty Million Revenue Run Rate Nathan models Froda's top-line ARR on the fly based on the loan tape and APR, guessing capital coverage ratios. Oliver corrects the equity requirement down to 11% and shares historical fundraising and revenue figures.15:06–16:50 · Nathan as informed peer 4/10 Embedded Finance Strategy and Scaling Across European Markets When Nathan expresses disbelief that banks give up revenue to Froda, Oliver educates him that banks would otherwise reject 90% of these borrowers due to strict risk appetite, meaning no revenue was forfeited.2:35–5:40 · Guest teaching 5/10 Partnering with Traditional Banks and Underwriting Microloans Nathan actively challenges the premise of why a traditional bank with consumer deposits would ever need Froda instead of doing it internally. Oliver explains the unit economics of onboarding micro-loans versus large corporate clients and how collateral requirements differ.5:41–9:41 · Guest teaching 2/10 Loan Portfolio Metrics, Fair APR Pricing, and Default Trends Nathan showcases strong financial expertise, performing immediate portfolio math on loan volume and comparing Froda's risk metrics to OnDeck and U.S. private credit funds. Oliver clarifies their fair lending strategy with a 16% APR compared to predatory MCA competitors.9:41–12:37 · Guest teaching 3/10 Credit Loss Allowances and Machine Learning Underwriting Models Nathan brings up banking regulation specifics, referencing CECL loss accounting reserves, cohort vintages, and credit box thresholds. Oliver explains European buffer rules and how Froda leverages transaction data and machine learning to underwrite risk.12:38–15:06 · Guest teaching 3/10 Capital History, Company Valuation, and Eighty Million Revenue Run Rate Nathan models Froda's top-line ARR on the fly based on the loan tape and APR, guessing capital coverage ratios. Oliver corrects the equity requirement down to 11% and shares historical fundraising and revenue figures.15:06–16:50 · Guest teaching 6/10 Embedded Finance Strategy and Scaling Across European Markets When Nathan expresses disbelief that banks give up revenue to Froda, Oliver educates him that banks would otherwise reject 90% of these borrowers due to strict risk appetite, meaning no revenue was forfeited.2:35–5:40 · Guest disagreement 1/10 Partnering with Traditional Banks and Underwriting Microloans Nathan actively challenges the premise of why a traditional bank with consumer deposits would ever need Froda instead of doing it internally. Oliver explains the unit economics of onboarding micro-loans versus large corporate clients and how collateral requirements differ.5:41–9:41 · Guest disagreement 1/10 Loan Portfolio Metrics, Fair APR Pricing, and Default Trends Nathan showcases strong financial expertise, performing immediate portfolio math on loan volume and comparing Froda's risk metrics to OnDeck and U.S. private credit funds. Oliver clarifies their fair lending strategy with a 16% APR compared to predatory MCA competitors.9:41–12:37 · Guest disagreement 1/10 Credit Loss Allowances and Machine Learning Underwriting Models Nathan brings up banking regulation specifics, referencing CECL loss accounting reserves, cohort vintages, and credit box thresholds. Oliver explains European buffer rules and how Froda leverages transaction data and machine learning to underwrite risk.12:38–15:06 · Guest disagreement 1/10 Capital History, Company Valuation, and Eighty Million Revenue Run Rate Nathan models Froda's top-line ARR on the fly based on the loan tape and APR, guessing capital coverage ratios. Oliver corrects the equity requirement down to 11% and shares historical fundraising and revenue figures.15:06–16:50 · Guest disagreement 2/10 Embedded Finance Strategy and Scaling Across European Markets When Nathan expresses disbelief that banks give up revenue to Froda, Oliver educates him that banks would otherwise reject 90% of these borrowers due to strict risk appetite, meaning no revenue was forfeited.2:35–5:40 · Nathan pushing back 5/10 Partnering with Traditional Banks and Underwriting Microloans Nathan actively challenges the premise of why a traditional bank with consumer deposits would ever need Froda instead of doing it internally. Oliver explains the unit economics of onboarding micro-loans versus large corporate clients and how collateral requirements differ.5:41–9:41 · Nathan pushing back 4/10 Loan Portfolio Metrics, Fair APR Pricing, and Default Trends Nathan showcases strong financial expertise, performing immediate portfolio math on loan volume and comparing Froda's risk metrics to OnDeck and U.S. private credit funds. Oliver clarifies their fair lending strategy with a 16% APR compared to predatory MCA competitors.9:41–12:37 · Nathan pushing back 3/10 Credit Loss Allowances and Machine Learning Underwriting Models Nathan brings up banking regulation specifics, referencing CECL loss accounting reserves, cohort vintages, and credit box thresholds. Oliver explains European buffer rules and how Froda leverages transaction data and machine learning to underwrite risk.12:38–15:06 · Nathan pushing back 3/10 Capital History, Company Valuation, and Eighty Million Revenue Run Rate Nathan models Froda's top-line ARR on the fly based on the loan tape and APR, guessing capital coverage ratios. Oliver corrects the equity requirement down to 11% and shares historical fundraising and revenue figures.15:06–16:50 · Nathan pushing back 2/10 Embedded Finance Strategy and Scaling Across European Markets When Nathan expresses disbelief that banks give up revenue to Froda, Oliver educates him that banks would otherwise reject 90% of these borrowers due to strict risk appetite, meaning no revenue was forfeited.

speaking balance: gold is Nathan, purple is the guest (3 minute bins)

0:00 · Nathan 33.3% · guest 66.7%0:00 · Nathan 33.3% · guest 66.7%3:00 · Nathan 24.7% · guest 75.3%3:00 · Nathan 24.7% · guest 75.3%6:00 · Nathan 45.4% · guest 54.6%6:00 · Nathan 45.4% · guest 54.6%9:00 · Nathan 28.4% · guest 71.6%9:00 · Nathan 28.4% · guest 71.6%12:00 · Nathan 40.6% · guest 59.4%12:00 · Nathan 40.6% · guest 59.4%15:00 · Nathan 27.9% · guest 72.1%15:00 · Nathan 27.9% · guest 72.1%
Sharpest disagreement ▶ 16:11 Correcting the assumption about bank revenue concessions

Oliver refutes Nathan's notion that banks are willingly leaving eighty million dollars on the table, pointing out that banks would reject 90% of those applicants anyway under their existing risk appetite.

Hardest push from Nathan ▶ 2:48 Questioning why incumbent banks do not build in-house

Nathan bluntly refuses the premise that established banks need third-party lending software when they already hold deposits and lending licenses.

Biggest teaching moment ▶ 16:11 The risk appetite barrier in commercial banking

Oliver breaks down why bank technology investments alone cannot solve micro-lending without changing risk appetite models that automatically reject most applicants.

Nathan holds their own ▶ 8:22 Benchmarking margins and default rates against OnDeck

Nathan demonstrates deep industry acumen by citing historical pre-COVID public data from OnDeck regarding gross yield, net interest margins, and acceptable default thresholds.

the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Partnering with Traditional Banks and Underwriting Microloans 6515 Nathan actively challenges the premise of why a traditional bank with consumer deposits would ever need Froda instead of doing it internally. Oliver explains the unit economics of onboarding micro-loans versus large corporate clients and how collateral requirements differ.
Loan Portfolio Metrics, Fair APR Pricing, and Default Trends 8214 Nathan showcases strong financial expertise, performing immediate portfolio math on loan volume and comparing Froda's risk metrics to OnDeck and U.S. private credit funds. Oliver clarifies their fair lending strategy with a 16% APR compared to predatory MCA competitors.
Credit Loss Allowances and Machine Learning Underwriting Models 8313 Nathan brings up banking regulation specifics, referencing CECL loss accounting reserves, cohort vintages, and credit box thresholds. Oliver explains European buffer rules and how Froda leverages transaction data and machine learning to underwrite risk.
Capital History, Company Valuation, and Eighty Million Revenue Run Rate 7313 Nathan models Froda's top-line ARR on the fly based on the loan tape and APR, guessing capital coverage ratios. Oliver corrects the equity requirement down to 11% and shares historical fundraising and revenue figures.
Embedded Finance Strategy and Scaling Across European Markets 4622 When Nathan expresses disbelief that banks give up revenue to Froda, Oliver educates him that banks would otherwise reject 90% of these borrowers due to strict risk appetite, meaning no revenue was forfeited.

Statements from this episode (18)

Assertion Partly supported
European Small Businesses Employ Two-Thirds of the Workforce
“Considering that they employ like two thirds of the workforce in Europe, they create 85% of the new jobs in Europe, and still they don't have this kind of basic infrastructure of external financing to grow and do much more.”
Oliver Moseni Sep 8, 2026 ▶ 1:41
Assertion Partly supported
Froda Provides Embedded Lending Using Its Own Banking Balance Sheet
“The full embedded lending journey from a first origination window all the way down to balance sheet is on us. So we have the full infrastructure layer. We have the balance sheet. We have the whole regulatory framework required being a bank ourselves to enable …”
Oliver Moseni Sep 8, 2026 ▶ 2:08
Insight
Onboarding Micro-Borrowers Costs Banks As Much As Large Corporations
“For a bank to onboard such a customer is just as costly as onboarding a large corporation that's requiring several million.”
Oliver Moseni Sep 8, 2026 ▶ 3:14
Disclosure
SpareBank Takes Corporate Loans While Partner Froda Finances Microloans
“And what we're doing with Sparbank One is really complimenting them. So they take the larger ticket sizes. They take the larger corporations on their own balance sheet. We take care of the smallest.”
Oliver Moseni Sep 8, 2026 ▶ 5:19
Assertion Not checkable as stated
Froda Has Financed 150,000 Small Businesses to Date
“So, so far we've supported a 150,000 small businesses and that's one of our super important KPIs.”
Oliver Moseni Sep 8, 2026 ▶ 5:58
Assertion Not checkable as stated
Froda Maintains 30% Year-Over-Year Growth Despite Challenging Macroeconomic Conditions
“In terms of growth, it's been a challenging macro the latest come of years, but we still had a growth Of about 30% year on year”
Oliver Moseni Sep 8, 2026 ▶ 6:17
Assertion Not checkable as stated
Froda's Average Small Business Loan Size Is $23,000
“I mean, the average loan size is 23,000 dollars, so yeah, you have to do the math.”
Oliver Moseni Sep 8, 2026 ▶ 6:44
Assertion Open · timeframe Sep 2026
Froda Reaches $500 Million in Active Outstanding Loan Balance
“Current outstanding balance is about half a billion.”
Oliver Moseni Sep 8, 2026 ▶ 6:51
Assertion Not checkable as stated
Froda Averages a 16% Annual Percentage Rate Across Its Loans
“The average APR, just to put it into context, is with us is 16%.”
Oliver Moseni Sep 8, 2026 ▶ 9:02
Disclosure
Froda Takes a 3% to 5% Upfront Credit Loss Buffer
“So we need to hold some buffer for losses, and basically we take that loss up front, right? So if we lend to a customer, we have to take cost for loss as soon as we do the payout. And I, it's about three to five percent.”
Oliver Moseni Sep 8, 2026 ▶ 10:05
Prediction Not yet assessed · timeframe Sep 2029
Froda Expects Elevated Credit Losses to Normalize Back to 3%
“Before This current macro squeeze, we were around like three. It's a little bit elevated now, but we project that we will go back to around the three, 3.5%.”
Oliver Moseni Sep 8, 2026 ▶ 10:31
Opinion
Froda Could Charge Higher Interest Because Small Businesses Lack Funding Alternatives
“I think we could probably charge more because just as you said, they don't find external financing elsewhere, or at least it's not abundant.”
Oliver Moseni Sep 8, 2026 ▶ 11:03
Disclosure
Froda Has Raised $49 Million in Total Equity Funding
“We've raised forty nine million to date.”
Oliver Moseni Sep 8, 2026 ▶ 12:53
Assertion Open · timeframe Dec 2026
Froda Is Profitable Today and Does Not Need Outside Capital
“We are profitable today, so we don't really need to raise money.”
Oliver Moseni Sep 8, 2026 ▶ 14:17
Assertion Open · timeframe Dec 2026
Startup Bank Froda Reaches an $80 Million Annual Revenue Run Rate
“Yeah, that's the ARR.”
Oliver Moseni Sep 8, 2026 ▶ 14:36
Assertion Open · timeframe Dec 2026
Froda Generated Approximately $57 Million in Revenue Last Year
“So last year we did about fifty-seven million. Something like that?”
Oliver Moseni Sep 8, 2026 ▶ 14:49
Disclosure
Froda Scales Across Seven European Countries and Prepares for France
“Instead of doing one country greenfield establishment, we've been able to scale into, to six new countries or yeah, seven currently building for France at a much higher pace than we could do if we were doing everything on our own.”
Oliver Moseni Sep 8, 2026 ▶ 15:24
Insight
Lending Tech Fails If It Keeps Traditional Banks' Low Risk Appetites
“If you keep the bank's risk appetite and build a fantastic product from a text tech and UX perspective, you're still not going to be able to serve the like 70% that we do. You would be declining 90%.”
Oliver Moseni Sep 8, 2026 ▶ 16:27
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 2,600 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.