AI-native compliance surveillance and archiving for regulated financial firms
Behavox sells an AI-driven compliance platform spanning communications and trade surveillance, regulatory archiving and policy management, built on Java/Spring Boot and Python across GCP, AWS and Azure. Hiring is accelerating and skews heavily toward senior sales and finance rather than engineering, while job posts point to acquisition valuation and post-merger integration work, a sign of inorganic growth alongside commercial expansion.
Behavox is a London-headquartered, privately held software company founded in 2014 with 201–500 employees. It offers a unified compliance platform covering communications surveillance, trade surveillance, regulatory data retention and policy management. Its clients are financial services firms and other regulated industries worldwide, served from offices across North America, EMEA and APAC. Current hiring spans Canada, the United Kingdom, Italy, the United States, Japan, Singapore and the United Arab Emirates.
Behavox runs Java, Spring Boot, Python, TypeScript, React and Angular, with BigQuery, Dataflow and Looker for data, Terraform for infrastructure, and GCP, AWS and Azure clouds. HubSpot, Zendesk and Jira Service Management support go-to-market.
Yes. Sales is the largest hiring area, followed closely by finance, with most openings at senior level. Roles are spread across the UK, US, Canada, Italy, Japan, Singapore and the UAE.
Job posts point to acquisition valuation and integration modeling, SaaS forecasting models, post-merger workforce integration, improving its compliance product for expansion, and onboarding new clients across multiple markets.
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Behavox'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.