echoloc

FalconX Tech Stack

Institutional digital asset prime brokerage with proprietary trade-lifecycle tech

Financial Services San Mateo, California 201–500 employees Privately Held

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.

Tech Stack 35 technologies

Core StackPython C++ Rust Java React NetSuite Workato n8n Rippling Workday Expensify Google Analytics Oracle Aeron WebSocket SuiteScript Navan Concur Coupa Workiva PowerShell Bash Yara MITRE ATT&CK Solidity Ethereum Virtual Machine IAM bash ITIL FloQast+5 more

What FalconX Is Building

Challenges

  • Limited products and services for trading strategies
  • Fragmented digital asset market
  • Limited product support for trading strategies
  • High-volume unstructured reconciliations
  • Low-latency trading systems
  • Regulatory compliance across multiple jurisdictions
  • Stabilizing legacy finance systems
  • Modernizing core finance architecture
  • Connecting fragmented finance systems
  • Highly regulated financial services industry

Active Projects

  • Erp banking integration
  • System integrations and optimizations
  • Derivatives pricing engines
  • Global financial close process
  • Next-generation trading platform
  • Low-latency execution services
  • Portfolio management system
  • Pricing library
  • Office layout planning
  • Process improvement system design

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Finance
8
Engineering
4
Legal
4
Ops
3
Sales
2
Marketing
1
Security
1

Seniority

Senior
14
Director
2
Junior
2
Manager
2
Mid
2
Lead
1
Company intelligence

Find more companies like FalconX by tech stack, pain points and active projects

Get started free

About FalconX

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.

HeadquartersSan Mateo, California
Company Size201–500 employees
Hiring MarketsIndia, United States, Malta, Canada, United Kingdom

Frequently Asked Questions

What is FalconX's tech stack?

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.

What does FalconX's trading platform do?

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.

How this profile is built

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.