Payments modernization consultancy and AI agent for bank delivery teams
RedCompass Labs pairs payments-modernization delivery for banks with its own AI product line, and the stack shows both sides: a Python/FastAPI layer for AI work beside Java, Spring Boot, Kafka and IBM MQ typical of bank payment cores. Engineering-heavy, senior-skewed hiring plus a CISO search and work on RAG pipelines and multi-agent workflows point to a firm hardening its AI product for regulated, on-premise deployment.
Notable leadership hires: Chief Information Security Officer
RedCompass Labs is a London-based payments specialist founded in 2003, with 51–200 employees. It works with banks and payment platform vendors on scheme migrations, platform builds and large modernization programs, including ISO 20022 work. Its flagship Payments Expert Agent is an AI tool supporting the payments software development lifecycle and runs inside the client bank's environment. The firm also offers the RedFlag Accelerator, which helps banks spot financial crime such as fraud and trafficking within payment flows. It is currently hiring in the United Kingdom and Canada.
RedCompass Labs uses Python, FastAPI, Java, Spring Boot, Kafka, IBM MQ, MongoDB and Elasticsearch, running on Azure, Docker, Kubernetes and OpenShift, with Jenkins, Bitbucket, Jira and Selenium/Cucumber for delivery and testing.
Yes. Engineering dominates current hiring, skewed toward senior roles, with hiring accelerating in the United Kingdom and Canada. The company is also recruiting a Chief Information Security Officer.
Projects include multi-agent workflows for financial analysis, RAG pipelines for regulatory documentation, testing of the Payments Expert Agent and RedFlag Accelerator, and deploying its platform on cloud and client on-premise environments.
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RedCompass Labs'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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