IT consulting for banking and insurance: data, infrastructure, DevOps
HIGHFI is a Paris-based consulting group placing senior IT, data and infrastructure experts inside banks and insurers. Its mission-driven stack spans legacy Java/JBoss, .NET and Oracle alongside Docker and Kubernetes, which are actively being adopted, showing client work shifting toward containerized platforms. Hiring is accelerating and overwhelmingly senior, centered on engineering plus finance-domain roles, with recurring themes of big-data pipeline industrialisation and OS/middleware obsolescence.
HIGHFI is a privately held IT consulting and expertise firm founded in 2002 and headquartered in Paris, France. It serves the banking and insurance sectors, with a focus on corporate and investment banking, retail banking and bancassurance. The group operates through several entities covering IT, digital (agile, DevOps, mobile), business analysis, infrastructure and production, and business intelligence, big data and data engineering. Domain expertise includes ALM, CRM, financing and regulatory topics. The company employs 201–500 people and hires in France.
HIGHFI's stack includes Java, .NET, Python, Angular, React, Oracle, PostgreSQL, Redis, Elasticsearch, JBoss, Jenkins, Terraform, Ansible, VMware, and Citrix, with Docker and Kubernetes being actively adopted.
Yes. HIGHFI's hiring is accelerating in France, focused mainly on senior engineering profiles, with additional roles in finance, data, operations, security, sales and support.
HIGHFI specializes in banking and insurance, covering corporate and investment banking, retail banking and bancassurance, with expertise in ALM, CRM, financing and regulatory work.
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HIGHFI'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.