Finova operates a multi-cloud lending and savings platform serving over 60 UK banks and specialist lenders, processing £50B+ in annual loan volume. The tech stack spans C#, Go, Python across AWS, Azure, and GCP with heavy investment in testing infrastructure (NUnit, Jest, Cypress, Playwright, Selenium) and observability (Datadog, CloudWatch) — indicating a maturity focus on stability and compliance. Active hiring skews heavily toward senior engineering and security roles, while projects center on automation, chaos testing, and multi-cloud IAM hardening, suggesting operational resilience is a priority alongside regulatory pressure.
Notable leadership hires: Head of Legal
Finova is a UK-based fintech software provider specializing in lending and savings platforms for retail and commercial banks, building societies, and specialist lenders. The company processes over £50 billion in loans annually and manages almost £50 billion in savings across its customer base of more than 60 financial institutions. The platform is built on an open architecture designed to integrate with existing banking tech stacks, and Finova sells on the premise of faster time-to-market, improved customer experience, and operational cost reduction. The company was founded in 1996 and remains privately held, headquartered in London.
Finova builds primarily in C#, Go, and Python, with PostgreSQL and SQL Server for data, React/Vue/Angular for frontends, and deploys across AWS, Azure, and GCP using Terraform and CloudFormation. Testing uses NUnit, Jest, Cypress, Playwright, and Selenium; observability via Datadog and CloudWatch.
Current project focus includes automation framework strategy, chaos and performance engineering, multi-cloud IAM implementation, CSPM rule tuning, and validation of AI/ML features. Security posture of the multi-cloud SaaS platform is a priority, along with reducing manual testing bottlenecks.
Finova'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.