UK fintech lender rebuilding legacy products under unified Zable brand
Lendable operates a lending and savings platform serving UK and US consumers, but the stack and project list reveal an organization mid-transformation. The company is replacing dated legacy systems with modern infrastructure (Python, PostgreSQL, Kubernetes, ArgoCD), rebuilding core consumer finance products from scratch, and consolidating its brand portfolio under Zable. The hiring surge—79 open roles with 53 posted in the last 30 days, weighted toward senior engineers and data—signals the scale of this modernization effort.
Notable leadership hires: Head of Creative, Head of Complaints, Complaints Lead
Lendable is a non-bank lender and credit provider operating in the UK and US markets. The platform offers loans, credit cards, car finance, and savings products, underpinned by proprietary AI trained on a decade of borrower data to enable instant underwriting and personalized pricing. The company operates multiple consumer-facing brands (Lendable, Zable in the UK and US, Autolend) and is currently consolidating these under the Zable superapp brand. With 51–200 employees and a London base, Lendable is scaling to handle expansion into the US market alongside a significant technical modernization of legacy financial systems.
Backend: Python, PHP, Symfony, PostgreSQL, MySQL, RabbitMQ. Infrastructure: AWS, Docker, Kubernetes, ArgoCD, Jenkins. Frontend: React, Next.js, React Native, TypeScript, iOS, Android. Observability: Datadog. Testing: Jest, Behat, PHPUnit, Selenium, Detox. Currently adopting Cursor.
Core projects: rebuilding consumer finance products from scratch; rebranding company and product under Zable; AI integrations and data pipelines; UK credit card underwriting and pricing models; US market expansion; marketing function build; automation of resolution workflows.
Lendable's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.