Electronic FX QA Engineer

Department overview:

E-Trading Strategy FX sits within Nomura's Global Markets division. FX is a strategic franchise for Nomura whose direction is driven from Singapore with the team focusing on all quant and tech elements of the Electronic FX flows within Nomura. This ranges from market making (the models, the curve and subsequent price distribution), our aggregator and the algos within it and other such projects such as our web-enabled Single Dealer Platform. In short – if it's electronically handled within Nomura it flows through one of the systems the team owns.

This is a very exciting opportunity to be a key part of this growing team who are focused on building out the Nomura FX franchise. You will be working with the wider development team in Singapore and London to ensure that the products delivered are up to the highest standards to support our 24 hours a day, 5 and half days a week FX business. Your focus will be not only in the quality assurance of the system but also within the reliability. We are committed to engineering systems that are designed to deliver across our franchise with thought in their application.

Role description:

• Qualitative Assurance of all aspects of FX market making and FX algorithmic trading
• Manage and work on projects related to FX products

Skills, experience, qualifications and knowledge required:

• 5-7 years in financial services QA with minimum 3+ years specifically in FX/trading systems
• Strong technical expertise in Java-based test automation (TestNG, JUnit, Cucumber), API testing, performance testing for low-latency systems, and UI automation (Selenium, Playwright) for React/Vue.js applications
• Preferred FX domain knowledge including FIX protocol testing, regulatory reporting validation, and real-time trading system testing
• Experience of CI / CD pipeline integration (Jenkins, GitLab) with large Gradle build systems would be beneficial
• Exceptional attention to detail with excellent analytical and problem-solving skills, strong communication abilities across technical and business teams, and innovative approach to automation and process improvement
• Familiarity with AI coding assistants and ability to effectively leverage them while maintaining code quality standards
• Minimum of a Bachelor's degree in Computer Science from an accredited education institution