Software Engineer
Company: MarketAxess Holdings
Location: New York, NY
Salary: $110,000 - $165,000 a year
Type: Full-time
Posted: 2026-05-06
About this role
Company Description
MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There.
The Role
We're looking for a Software Engineer to join our Data Products team and help shape how critical Fixed Income data is built, managed, and delivered — to external clients and partners around the world. A key part of the role is evolving client-facing web UIs that make these data products easy to discover, understand, and use. You'll work on delivering high-quality data products that clients depend on for trading and analytics, from backend to frontend, as well as from ingestion to analytics and distribution. If you're curious about financial markets, enjoy solving hard problems end-to-end (from UI to data), and want to own something that reaches beyond the firm's walls, this role is for you.
How You'll Help Take Us There
Web UI:
- Own and evolve client-facing web frontends built with AngularJS and JSP; modern JavaScript or React experience is a plus.
- Build and maintain backend data services required by those frontends, including analytics, caching and other integrations.
- Partner with data platform, information security, QA and test automation engineers to deliver and maintain intuitive, secure and compliant workflows for internal and external data discovery and consumption.
Data Engineering & Integration:
- ...