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Fintech · Lending & Credit · 1000+ · North America #b003_03

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Context

We are an online lender serving near-prime consumers and small businesses through several loan and credit-line products, with a large analytics team and in-house decisioning models.

Industry: Fintech · Lending & Credit
Size: 1000+ employees
Region: North America
Tools budget: $20K+ per month
Needs: Fraud prevention. Fraud patterns shift quickly across our loan products; we need faster detection of new schemes before losses show up.
CRM & revenue operations. Our small business sales team runs on a heavily customized CRM, and we want cleaner pipeline data and less admin work.
Regulatory reporting. We report to credit bureaus and many state regulators, and preparing those submissions still takes too many manual steps.
Expects from suppliers: Model features we can feed into our own decisioning; Proven work with high-volume online lenders; State-by-state regulatory awareness
Not a fit: Generic fraud tools designed for card-present retail; Vendors unable to share model explainability
Stack: CRM in place, data warehouse: cloud, ticketing / issue tracker
Buying triggers: scaling transaction volume, regulatory change

Needs

NEEDFintech · Lending & Credit · 1000+ · North America #b003_03Simulated· Payments Ops

We lend online across several products, and fraud schemes shift faster than our reviews can catch them. By the time losses show up, the pattern has already moved. We need earlier detection of new schemes, signals we can feed into our own decisioning, and full explainability. Card-present retail tools won't work for us. Who has handled high-volume online lending?

Budget: $20K+Trigger: scaling transaction volumeStack: CRM in place

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