Who Bears the Risk When BigTech Partners With Finance?

When a BigTech platform offers a financial product, the company named on the screen may not be the company that funds the loan, underwrites the insurance, manages the assets, or carries the liquidity risk. This chapter maps those relationships and asks a more precise question than whether the platform or the bank “owns” the product: who controls distribution and customer behavior, who bears the formal financial risk, and which shared data or technology can transmit a problem across entities? The answer determines whether a partnership reduces risk by adding expertise or hides risk behind a convenient interface.

The front end and the balance sheet do different jobs

A platform is often strongest at the front end. It already has users, merchants, a payment relationship, and a screen on which it can present an offer. A bank, insurer, or asset manager may be stronger at the regulated financial function: supplying funds, managing a balance sheet, underwriting a policy, or managing a portfolio. Partnership allows the two sides to combine those capabilities without making them responsible for the same part of the product.

That division can be useful. A bank may reach a small merchant through a platform that already observes the merchant’s sales. An insurer may use a platform’s customer relationship to distribute a policy connected to an e-commerce or health ecosystem. An asset manager may reach small savers through a payment application rather than through a separate investment account. The platform lowers the distance between a customer and a financial service; the regulated institution supplies a function that the platform may not be licensed or equipped to perform.

But convenience can hide control. The platform may decide which customers are approached, how prominently an offer appears, which information is passed to the provider, and how the user moves through the application process. The regulated partner may hold the loan or policy while having less influence over demand generation. If compensation is based on referrals or volume, the platform can benefit from sending more customers into the funnel even when the partner bears most of the resulting loss.

The division of responsibility is therefore not captured by a single question such as “Who made the loan?” A useful map asks five related questions. Who acquired the customer? Who made or influenced the decision? Who supplied the money or assumed the underwriting exposure? Who controls the customer’s data and the interface through which the product is serviced? Who can act when the customer complains or the partner’s systems fail?

The relationships are easier to see when the product is separated from the entities around it:

erDiagram BIGTECH ||--o{ USER : serves BIGTECH ||--o{ MERCHANT : distributes_to BIGTECH ||--o{ DATA : combines BIGTECH }o--o{ BANK : partners_with BIGTECH }o--o{ INSURER : intermediates_for BIGTECH }o--o{ ASSET_MANAGER : distributes_for BANK ||--o{ LOAN : carries_credit_risk INSURER ||--o{ POLICY : carries_underwriting_risk ASSET_MANAGER ||--o{ FUND : manages FUND }o--o{ ASSET : invests_in USER }o--o{ LOAN : receives USER }o--o{ POLICY : buys USER }o--o{ FUND : redeems REGULATOR ||--o{ BANK : supervises REGULATOR ||--o{ INSURER : supervises REGULATOR ||--o{ ASSET_MANAGER : supervises REGULATOR }o--o{ BIGTECH : may_monitor

The diagram does not imply that every platform has every relationship.