Global Banking & Markets - Eq - GSET Platform - Associate

The GSET Platform team builds the core services and components of our electronic trading platform for our clients and trading desks, ranging from positions management & resource distribution through to client workflow management & controls. Our low latency platform is built with speed, reliability and resiliency in mind where every microsecond counts, and uptime is critical. We work directly with our traders & product development teams to build new functionality for clients, adapt the platform to meet regulatory & industry changes and expand into new markets. As a member of the team, you will play an integral role on the trading floor. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. You should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. RESPONSIBILITIES Design, build and maintain high-performance, high-availability, high-capacity, yet nimble and adaptive Java based reference data platforms . Work in partnership with the wider engineering & product teams to design and implement best-in-class solutions. Work closely with our global counterparts to ensure we re building features and systems that can be reused and leverage work and experience from the other regions. SKILLS & EXPERIENCE WE RE LOOKING FOR BASIC SKILLS & QUALIFICATIONS Strong Java programming skills Excellent academic record in a relevant technical field, e.g. Comp Sci, Engineering, Mathematics or Physics. High desire to produce organized, readable, tested and maintainable software. Ability to balance multiple, time-sensitive projects while maintaining a longer term, strategic focus. Effective communicator in both written and verbal mediums. BENEFICIAL SKILLS & QUALIFICATIONS Prior experience working on reference data platforms for electronic trading. Knowledge of Spring, Kafka, SQL and/or Linux. Prior experience designing and implementing distributed systems modelling complex workflows. Prior experience in the financial industry. Understanding of common data structures and optimizations regarding memory and runtime performance.