Global data platform for lending, fraud, and risk across financial services and healthcare
Experian operates a distributed data and analytics infrastructure spanning AWS, Kafka, and Oracle, with active migration from legacy EPM tooling toward GraphQL and GraphRAG—indicating a shift toward real-time API-driven architectures and AI-augmented analytics. Engineering dominance in the hiring mix (205 roles) paired with active projects in KYC authentication, identity verification, and compliance dashboards suggests the organization is simultaneously modernizing internal systems while shipping customer-facing products.
Notable leadership hires: Governance Program Lead, QA Lead, Head of Products, Account Director, Head of Fraud
Experian is a public-company data platform serving financial services, healthcare, automotive, and insurance markets with credit decisioning, fraud prevention, risk modeling, and marketing analytics. The business spans lending practices, fraud detection and prevention, healthcare simplification, automotive insights, and consumer financial tools. With 22,500 employees across 32 countries and headquarters in Dublin, the company operates a multi-tenant SaaS and embedded analytics model, supported by on-premise and cloud infrastructure. Recent hiring velocity in engineering and data roles reflects active modernization of both platform and product layers.
AWS (Fargate, Lambda, SQS, CodePipeline), Kafka, Oracle, Tableau, Python, Java, .NET, Kubernetes, Docker, and Spring frameworks. Currently adopting GraphQL, GraphRAG, and LangChain; migrating away from Oracle EPM Cloud and RPA.
KYC/B authentication, identity verification, compliance dashboards, CI/CD pipeline modernization, iOS native application development, infrastructure-as-code automation, and workflow automation. Pain points include fraud detection accuracy, cloud modernization, data governance, and system reliability.
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