Lending and savings platform for UK banks and building societies
Finova processes over £50 billion in loans and manages nearly £50 billion in savings annually across 60+ UK financial institutions. The tech stack reveals an engineering org moving toward AI-native workflows: Python, JavaScript, LangChain, and OpenAI API sit alongside legacy SQL Server infrastructure, while active projects center on cloud-native transformation, a scalable B2B workflow engine, and AI-powered features. Pain points cluster around legacy-to-cloud migration and operational cost reduction — typical of a 1996-founded fintech modernizing at scale.
Finova is a UK-based lending and savings technology provider serving retail banks, building societies, and specialist lenders. The platform handles loan origination, processing, and savings product management across multiple institutions. Founded in 1996, the company operates a portfolio of interconnected modules: a lending platform (active implementation work), a B2B workflow engine (under evolution), and partner enablement infrastructure. The org is engineering-heavy with concurrent focus on AI proof-of-concepts and cloud infrastructure, while confronting technical debt from on-premises legacy systems that require migration.
Finova runs Python, JavaScript, SQL Server, and Azure infrastructure as core layers. Recent additions include LangChain, OpenAI API, and RAG for AI feature development. Testing tools include Katalon, TestComplete, and Mabl. Internal systems run on Azure DevOps, Jira, NetSuite, and BambooHR.
London, England. The company was founded in 1996 and currently employs 201–500 people. Hiring extends to India in addition to the UK.
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