AI-powered lending and savings platform for UK and US consumer credit markets
Lendable operates a consumer lending and savings platform built on Python, PostgreSQL, Kubernetes, and React Native, with a heavy focus on real-time credit decisioning and personalized product recommendations. The tech stack reveals a mature, full-stack engineering organization scaling microservices infrastructure (Kubernetes, ArgoCD, RabbitMQ) alongside modern frontend tooling (Next.js, React, TypeScript). Active projects span credit-decisioning optimization, multi-market expansion (US unsecured loans and credit cards), and AI integrations — signaling a shift from legacy product rebuilds toward data-driven lending automation and cross-border growth.
Lendable is a fintech platform delivering lending, credit cards, car finance, and savings products to UK and US consumers through its core app and Zable (a financial superapp). The company uses proprietary machine-learning models trained on over a decade of internal credit data to make instant lending decisions and offer personalized rates across multiple credit products. Lendable operates as the UK's largest non-bank lender for loans and one of the country's largest credit-card issuers, with growing US presence. The platform processes borrowing and savings workflows at scale, integrating loans, refinancing, insurance, and utility bill management into a single dashboard.
Lendable's stack includes Python, SQL, PostgreSQL, Kubernetes, Docker, AWS, RabbitMQ, Datadog, and React Native. Backend is built on Symfony and Laravel; frontend uses Next.js, React, and TypeScript. CI/CD runs on GitHub Actions and ArgoCD.
Yes. Lendable has 20 active engineering roles open (20% of current 103 total roles), with a senior-heavy profile: 41 senior hires across all departments in recent cycles.
Lendable actively hires in the United Kingdom, United States, and Canada, reflecting its expansion beyond the UK into North American lending markets.
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