Credit and lending platform for underserved UK borrowers
118 118 Money operates a lending business focused on credit cards and personal loans for borrowers excluded from traditional banking. The tech stack reveals a QA-heavy organization (Playwright, Appium, WebdriverIO, Cucumber across testing layers) paired with enterprise backend tooling (.NET, C#, Pega) and AWS-native infrastructure, suggesting mature compliance and regulatory automation. Active projects center on collections infrastructure, AI-driven forecasting, and securitization—indicating the business is scaling underwriting rigor and capital efficiency as it grows the loan book.
118 118 Money provides credit products—loans and credit cards—to borrowers underserved by mainstream lenders in the UK. Founded in 2013 and relaunched under the 118 118 brand in 2023, the company targets financial inclusion while maintaining a 4.8 Trustpilot rating. Operations span lending origination, collections management, credit risk modeling, and structured finance. The org is UK-based with 51–200 employees and is actively hiring in data, finance, and marketing roles—particularly at manager and director level—reflecting scaling of analytics, risk, and commercial functions.
Backend: .NET, C#, Pega. Frontend: TypeScript, JavaScript, React Native. Cloud: AWS (Lambda, ECS, Fargate, RDS, DynamoDB). Data: PostgreSQL, Snowflake, Aurora, Redis. Testing: Playwright, Appium, WebdriverIO, Cucumber, BrowserStack. DevOps: Docker, Terraform, Octopus Deploy, TeamCity.
Collections infrastructure redesign, collections forecasting rebuild, AI strategy implementation, and credit card and loan securitization programs—reflecting efforts to scale credit underwriting, collections automation, and capital efficiency.
118 118 Money'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.