We already have a credit bureau. Why do we need Mifundo?
Cross-border applicants are not higher risk. They are under-assessed. Complete data changes the decision.
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Most European banks have a credit bureau relationship that works. Strong coverage, reliable data, good integration. The question isn't whether the bureau works. It's who it works for. For domestic customers with domestic credit histories, the answer is straightforward. For a growing share of applicants, it isn't.
The design constraint, not the failure
Credit bureaus are primarily domestic institutions. They aggregate credit history from local accounts, local mortgages, and local lending relationships. When a Finnish customer applies to a Finnish bank, the Finnish bureau has what the underwriter needs. The system works as intended.
The constraint appears when the customer's credit history isn't domestic. A German national applying for a mortgage at a Spanish bank may have seven years of clean repayment history - performing accounts, verified income, no defaults. None of that is visible to the assessing bank through the Spanish bureau. Not a thin file. No file at all.
The bureau isn't failing. It was simply not designed to cover that customer.
The size of the gap
The natural instinct is to treat this as a narrow edge case. The portfolio data suggests otherwise.
Banks across Europe report that foreign-resident customers represent 10–25% of their applicant base. In markets with high cross-border mobility - coastal Spain, the Benelux countries, the Nordics - the proportion is higher. This is a material share of the portfolio being assessed on incomplete information, and in aggregate it represents a significant slice of Europe's €719 billion cross-border lending market.
Under CCD II, this also carries regulatory exposure. Banks are required to assess creditworthiness comprehensively, drawing on credit history from other EU member states where relevant. A domestic bureau check alone is unlikely to satisfy that requirement for applicants whose credit history sits elsewhere. Closing the data gap and meeting that obligation are, in practice, the same action.
What complete data actually shows
This is where the operational picture shifts.
Banks that have extended their assessment to include cross-border credit data consistently find that foreign-resident customers perform better than their thin-file treatment would suggest. Across the banks we work with, foreign customers assessed with their full cross-border credit history carry risk profiles around seven times lower than foreign customers assessed on domestic data alone.
That gap is not explained by borrower quality. It is explained by data availability. The underwriter who sees an incomplete file and prices for uncertainty is not being cautious. They are being misinformed. The customer who looks high-risk on a domestic bureau check often looks entirely ordinary once their full credit history is visible.
For risk leaders, this reframes the problem. The question is not whether to lend to foreign-resident customers. It is whether the current assessment process is giving underwriters enough information to make that call accurately. In most cases, it isn't.
What good looks like in practice
A bank with effective cross-border data capability does not run a separate process for foreign applicants. It applies the same credit logic it uses for everyone else, against a complete dataset.
When a French customer applies to a Dutch bank, the underwriter pulls credit history covering both jurisdictions. Payment behaviour, account conduct, existing obligations - all visible, all standardised into a format the credit model can consume. The decision follows the same path. What changes is the quality of the input.
This is not a specialist workflow for a niche segment. For banks with meaningful cross-border applicant volumes, it is standard underwriting applied to a population it was previously unable to assess properly.
Where Mifundo fits
Mifundo connects verified credit data from 18 European countries, covering more than 70% of the EU population. For the 10–25% of applicants whose credit history sits outside the domestic bureau's scope, that data is retrieved, standardised, and delivered in a format that integrates with existing credit assessment infrastructure.
The workflow does not change. The decision quality does.
For banks that want to evaluate the approach before committing to a full integration, there is no API requirement to get started. Assessment can begin against a defined applicant segment to establish what the data shows before any deeper implementation decision is made.
The result banks typically see: a segment that was previously excluded or conservatively priced turns out to be creditworthy when assessed properly. Revenue that was being declined on the basis of incomplete information becomes accessible without loosening credit standards.
