Credit bureau operator and risk analytics platform across 33 markets
Creditinfo runs a globally distributed credit bureau network with 33 active operations, selling risk analytics and decision-making software to lenders and financial institutions. The tech stack—SQL Server, PostgreSQL, React, RabbitMQ, and Azure—reflects a mature integration platform designed to handle high-volume decisioning workloads. Current hiring is sales-led (4 of 8 open roles), with execution focused on emerging-market expansion (Bangladesh GTM plan, new bureau launches) and fraud prevention product launches, alongside internal engineering discipline (Agile + DevOps rollout).
Creditinfo operates as a credit information and risk management platform, managing and processing credit data across 33 bureaus globally. The company serves banks, lenders, and financial institutions with automated decision-making tools, credit analytics, and consultancy services to manage borrower risk. Founded in 1997 and headquartered in London, Creditinfo operates across developed and emerging markets with particular scaling efforts in South Asia and the Middle East (Malta initiative). The product suite spans core bureau infrastructure, fraud detection systems, and alternative data partnerships to expand credit coverage in under-banked markets.
Creditinfo uses SQL Server, PostgreSQL, React, RabbitMQ, Couchbase, and .NET for core platform development, with Azure DevOps, Dynamics 365, and Power BI for operations and analytics. Frontend tooling includes Figma and InVision.
Yes. 4 of 8 active roles are sales positions, with 3 at lead level and hiring accelerating. Recruiting in Czechia and Bangladesh.
Creditinfo is headquartered in London, United Kingdom. The company was founded in 1997 and currently operates 33 credit bureaus globally.
Creditinfo Group'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 →
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