City of London, London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
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 ❯
profits The business is actively expanding as there is additional headcount for a number trade platform specialist Java Development with a focus on either/or Quantitative Development or low-latency performance optimization. You will be working on greenfield projects to build out and enhance their lowlatency trading systems. THE ROLE: Working in a fast … for a high-frequency, multi-exchange setup. You will focus on optimising every component of the trading stackincluding multi-threading, network communication, order processing, and execution logicto achieve ultra-lowlatency and high throughput. Robust monitoring, alerting, and performance tracking ensure system reliability. The team has deep expertise in trading protocols, messaging systems, network architectures, and concurrent computing … of trade metrics and strategy efficiency Engineer and optimise ultra-fast connections to trading venues, with a focus on throughput Design architecture capable of handling large volumes in a latency-sensitive environment Implement and manage high-performance messaging frameworks like Aeron and SBE Perform in-depth profiling and tuning to eliminate latency and optimise microsecond-level performance Develop More ❯
systems underpin signals for strategies, treasury operations, and risk oversight. The focus is on optimising every layer of the technology stackincluding multi-threading, network communication, and data encodingto deliver lowlatency and high throughput. Reliability is ensured through advanced monitoring, alerting, and performance tracking. The team brings deep expertise in complex event processing, network architectures, and concurrent computing … work closely with the Chief Risk Officer as well as colleagues across Risk, Operations, Trading, and Quant teams. Internal stakeholders span the full spectrum of risk requirements: from ultra-lowlatency trading signals, to regulatory reporting (both point-in-time and historical), and forward-looking risk models such as stress testing and Value at Risk (VaR). This More ❯
C#, and integrating quant libraries. A strong background in pricing models and risk analytics for both vanilla and exotic FX derivatives. The successful candidate will be instrumental in developing low-latency, scalable systems and ensuring their seamless integration into Real Time trading platforms. Required Skills & Qualifications: Highly experienced in C#, Java, and Quant Library development, particularly within a … options, including exotic and structured products. Develop and optimize quantitative models in collaboration with quants and traders. Ensure robust integration of pricing libraries with trading systems. Maintain and enhance low-latency infrastructure for Real Time risk and PnL calculations. Conduct backtesting and performance analysis of models and trading strategies. Provide technical guidance and support across the trading floor More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
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 lowlatency 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 ❯
with key technical stakeholders and management. Understanding the customer business. Understanding how our clients Product or Solution achieves business benefit. Contribute to the design and architecture of high-availability, lowlatency systems. Develop against shared codebases. Integrate features within the wider system. Peer review code and documentation. End-to-end automated and manual testing. Planning and execution of More ❯
london (city of london), south east england, united kingdom
Teksystems
This is a key position which will play pivotal role in the development of the FX platform. Skills C++ stl boost FX FIX exchange connectivity Market Access architecture multithreading lowlatency Job Title: F++ Developer Location: London, UK Rate/Salary: 100000.00 - 140000.00 GBP Yearly Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Cathcart Technology
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 lowlatency, 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 ❯