eTrading Rates Strategist / Java Developer (Associate)
Posted
Overview
In this front-office associate role within the Global Markets technology function, you will design and enhance algorithmic trading strategies and electronic trading platforms for Rates products. You’ll work closely with traders, quants, and technologists to deliver production-grade, low-latency solutions in a fast-paced environment. You’ll contribute to the ongoing evolution of a best-in-class electronic trading capability across global fixed income markets, shaping execution quality and market microstructure insights.
Pay / Benefits- competitive bonus
- benefits
- Develop and enhance algorithmic and execution trading strategies across Rates products
- Build low-latency, production-grade systems in a front-office environment
- Translate business requirements into technical solutions by working with trading desks
- Monitor and improve trading performance and execution quality
- Conduct research into market microstructure and trading behaviour
- Contribute to the ongoing development of the electronic trading platform and infrastructure
- ~3 years' experience in a front-office strat, eTrading, or low-latency development role
- Background in a top-tier investment bank or similar electronic trading environment
- Strong programming skills in Java, ideally within low-latency systems
- Good understanding of fixed income markets (cash and/or derivatives)
- Knowledge of electronic trading workflows and market microstructure
- Strong academic background in a quantitative discipline (e.g. Computer Science, Mathematics, Physics)
- Exposure to Rates products (e.g. bonds, swaps, futures)
- Experience with algorithmic execution or market-making strategies
- Familiarity with KDB+/time-series data platforms
- Understanding of distributed systems or modern trading architectures
- Strong collaboration with traders and quants
- Clear communication with cross-functional teams
- Ability to operate in a fast-paced, high-pressure environment
- Java (low-latency systems)
- KDB+/time-series data platforms
- Distributed systems