Trading, post-trade and data platforms for securities finance
EquiLend builds trading, post-trade, data and RegTech platforms for the securities finance market. Its stack pairs Java and Python services on AWS and VMware with a heavy QA toolchain (Selenium, Playwright, Cucumber, k6), and job posts focus on cutting flaky tests and wiring suites into CI/CD. A deep Salesforce footprint (CPQ, Service Cloud, MuleSoft) plus a Revenue Cloud and quote-to-cash project shows the commercial back office is being rebuilt too.
EquiLend is a privately held financial technology company headquartered in New York, NY, founded in 2001. It provides trading, post-trade, data and analytics, regulatory technology and platform products to firms active in securities lending, collateral and swaps. The company has 201–500 employees and operates across North America, EMEA and Asia-Pacific, with current hiring in the United States, United Kingdom and India. Its work spans regulated markets, including reporting regimes such as SFTR.
EquiLend uses Java, JavaScript and Python on AWS and VMware, with Grafana, Prometheus, Nagios and LogicMonitor for monitoring, Selenium, Playwright and k6 for testing, and Salesforce CPQ, Service Cloud and MuleSoft.
Yes. Engineering is the largest hiring area, with mostly senior-level roles alongside legal and operations positions. Hiring is accelerating across India, the United Kingdom and the United States.
Current initiatives include automated testing across its fintech platform, integrating test suites into CI/CD, a Salesforce Revenue Cloud and quote-to-cash rollout, sales contract standardization and a data quality program.
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EquiLend'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.