3 of 3 Remote Low Latency Jobs in the City of London

global investment bank is seeking a Java Developer/eTrading Strategist to join its London Rates eTrading team . This front-office role focuses on designing, building, and optimising low-latency Java trading systems that power the bank's global Rates business. The Role You will engineer high-performance Java components for algorithmic execution, pricing, and market connectivity. … Working closely with traders, quants, and technologists, you'll deliver production-ready eTrading solutions with a focus on latency, scalability, and resilience . Key Responsibilities Design and implement low-latency, multithreaded Java applications for Rates eTrading. Develop and optimise execution algorithms, smart order routers, and pricing engines . Profile and tune Java applications for GC optimisation, lock … trading systems . Conduct rigorous code reviews, testing, and benchmarking . Candidate Profile Degree in Computer Science, Engineering, Mathematics , or related field. 10+ years' experience in Java development within low-latency trading systems . Deep knowledge of Java concurrency, GC tuning, memory management, and NIO . Familiarity with market microstructure, FIX, order types, and trading protocols . Proven More ❯

experience, including technical project leadership, code reviews, 1-2-1s, developing others You have experience in a Capital Markets environment, FX preferred You have a strong appreciation of low latency systems and code optimisation to ensure speed You have excellent communication and collaboration skills You are degree educated in Computer Science or similar technical or numerate discipline More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯