Institutional digital asset prime brokerage with proprietary trade-lifecycle tech
FalconX operates a prime brokerage for institutional crypto trading, built on a polyglot stack (Python, C++, Rust, Java, React) spanning execution infrastructure, derivatives pricing, and ERP integration. Hiring skews heavily toward finance and legal roles—8 and 4 respectively across 23 open positions—while engineering and ops are much smaller, suggesting operational and compliance scaling outpaces platform development. Pain points cluster around low-latency execution, multi-jurisdiction regulatory alignment, and the fragmentation baked into digital asset markets themselves.
FalconX is a digital asset prime brokerage serving institutional traders with 24/7 access to global cryptocurrency liquidity and capital solutions. The company operates across five countries (United States, India, Malta, Canada, United Kingdom) with 201–500 employees, headquartered in San Mateo, California. Core infrastructure includes derivatives pricing engines, a next-generation trading platform, portfolio management systems, and low-latency execution services, integrated with traditional finance systems (NetSuite, Workday, Coupa, Oracle). The business model addresses institutional traders' need for consolidated liquidity access and structured settlement—both major pain points in fragmented crypto markets.
Core languages: Python, C++, Rust, Java. Frontend: React. Infrastructure: Aeron, WebSocket. Finance/ops systems: NetSuite, SuiteScript, Workday, Workato, n8n. Blockchain: Solidity, Ethereum Virtual Machine. Security/compliance: MITRE ATT&CK, Yara, IAM.
FalconX builds derivatives pricing engines, low-latency execution services, and portfolio management systems for institutional digital asset trading. The platform integrates with legacy finance infrastructure (ERP, settlement) to provide consolidated liquidity access and trade-lifecycle support.
FalconX'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.