Design, develop, and maintain electronic trading components.
Use low-level programming techniques to produce highly optimized, low-latency trading software
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience in Java
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Strong Linux/Unix, and knowledge of networking topologies, TCP + UDP
Low latency middleware, for example: Informatica ultra messaging
Knowledge of the FIX protocol (e.g. QuickFIX/J)
Experience with automated testing and CI/CD (e.g. JUnit, Cucumber, Maven, Jenkins)
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Bachelor's degree in Computer Science, Engineering, Maths, Stats, Physics, or similar experience
Collaborative, detail-oriented and a quick learner; able to analyse and fix problems quickly, both independently and within a global team
Preferred qualifications, capabilities, and skills
Scripting skills, python will be an advantage; kdb+/q or Splunk a plus
Relevant markets experience - FX/Rates eTrading
