building and optimising our quant trading systems, backtesting infrastructure, and research tools. You will collaborate closely with quantitative researchers, traders, and engineers to translate complex financial models into scalable, low-latency trading solutions. Key Responsibilities: Develop and optimise high-performance trading systems in C++ and Python for algorithmic trading and execution. Implement, test, and deploy trading strategies based … develop efficient tools for data analysis, simulation, and strategy optimisation. Optimise market data pipelines and trade execution engines to improve performance and reduce latency. Ensure system reliability, scalability, and low-latency performance in a fast-paced trading environment. Utilise distributed computing and high-performance computing techniques to enhance algorithmic execution. Integrate with exchange APIs (REST/WebSocket/… systems. Experience working in a Linux environment, including scripting and automation. Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or related fields. Preferred Qualifications: Experience with low-latency trading systems and high-frequency trading (HFT). Background in distributed computing, machine learning, or AI-driven trading models. Familiarity with cloud computing, Kubernetes, or containerised environments. More ❯
Instrumentation Platforms: Integrate the platform with Prometheus and Geneos for continuous monitoring, diagnostics, and system health checks. Desired technical Skills: Java Expertise: Extensive experience with Core Java, focusing on low-level performance tuning, multithreading, and garbage collection optimization. FIC or similar business knowledge: Strong understanding of FIC markets Experience with FIX protocol, SBE Market Data Feeds (e.g., Refinitiv, Bloomberg … and LP connectivity. Real time Messaging Systems: Experience with low-latency messaging technologies such as Solace. Linux based systems, CI/CD pipelines, GitHub Actions, MyBatis, Maven Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar tools). Distributed Systems: Experience with distributed computing, clustering, and scalability strategies. Soft Skills: Excellent communication and interpersonal skills More ❯
disciplines such as computer science, finance, systems engineering, and statistics. Their dedicated engineers and traders have developed some of the fastest trading systems. Their competitive edge lies in their lowlatency trading platform. Supported by highly skilled programmers, they are utilising the latest technologies to build a fast, lowlatency, and robust trading infrastructure capable of More ❯
trading strategy and technology, ensuring systems operate with maximum efficiency and reliability. This position combines technical problem-solving with financial markets knowledge in a dynamic environment. Key Responsibilities Support Low- Latency trading applications and market data systems Monitor system health and resolve incidents before they impact trading operations Investigate complex data anomalies using both automated tools and manual More ❯
time market data and fundamental data. Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers. Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews More ❯
Contribute to operational monitoring (e.g., Prometheus), CI/CD pipelines, and other essential tooling. Performance Optimization: Identify and fix performance bottlenecks in multi-threaded systems, ensuring high availability and low latency. Technical Exploration: Investigate emerging technologies-particularly in data analysis and machine learning-and adapt them to evolving platform needs. Ideal Candidate Background: Experience: 7+ years of professional software More ❯
Senior LowLatency Developer, C++ - Crypto Quantitative Hedge Fund London, UK Our client are a global quantitative investment management firm that leverages advanced data analysis, research, and technology to develop and implement diverse investment strategies. Their team consists of experts from various fields, including engineering, computer science, and finance, working collaboratively to optimise trading and investment processes. They … focus on automation and systematic approaches to manage risk and deliver consistent returns across different markets and asset classes. They are looking for a senior low level C++ developer with expertise in lowlatency development, ideally in cryptocurrency markets or HFT. Responsibilities Pivotal role in enhancing market access systems to meet the demands of low-latency … DevOps practices. Enhance and maintain systems that cover global markets, with a special focus on the cryptocurrency ecosystem. Requirements Expert skills in C++ and Linux platforms. Proven experience in low-latency optimization and tuning techniques. Experience with market access systems in cryptocurrency markets. Familiarity with cloud environments and modern CI/CD pipelines. Good knowledge of crypto products More ❯
We are now entirely proprietary, which allows us to be more agile with how we strategize, grow, and ultimately reward our employees. Our core focus is on high frequency, lowlatency strategies across Europe and The Americas. We cover Equities, Futures, Crypto, Options, and will be adding Foreign Exchange in 2025. We are nothing without our people. We … systematic traders, however we are now looking to expand our scope by adding new trading pods. We are therefore looking for competent, Senior C++ Engineers who have experience building lowlatency software for PMs. Our latency is measured end-to-end, front-to-back, so we are looking for people that have worked across the stack and … have implemented a single-digit microsecond latency from start to finish. Our business is growing, and therefore our policy has always been to welcome ideas to the table. If you are innovative, entrepreneurial, and ambitious, we are confident our environment will suit you. Please apply below, and someone in our recruitment team will reach out to you. We are More ❯
Demonstrated success in designing robust solution architectures, particularly in data platforms and complex pipelines, preferably within cloud environments (AWS, GCP, Azure). Deep Application Design Knowledge - Expertise in architecting low-latency, scalable solutions to meet performance, availability, and resilience needs. Data Architecture Mastery - Skilled in developing batch and streaming data pipelines across on-premises and cloud ecosystems, with More ❯
to create impactful solutions in a fast-paced, collaborative environment. Role Highlights Design and implement high-performance software systems using Core Java, without relying on frameworks. Tackle multi-threaded, low-latency challenges, manage extensive data streams, and optimise asynchronous programming for real-time scalability. Drive projects that advance sustainable energy solutions, contributing to a greener future. Key Requirements … demonstrate extensive knowledge in Software Development. 6+ years with extensive hands-on experience in Core Java, developing systems from the ground up without frameworks. Advanced proficiency in multi-threading, low-latency solutions, and data stream management. Strong knowledge of Advanced Computer Science Principles, Compiler Theory and Graph Theory to drive innovation in the GreenTech sector. Strong understanding and More ❯
maintaining the backbone infrastructure supporting high-performance trading and large-scale research. In this hands-on role, you will gain significant exposure to distributed systems, high-throughput computing, and low-latency infrastructure. You’ll work on complex technical challenges that directly influence the firm’s ability to process data and execute strategies at scale. Role Responsibilities As a … across a large server estate Build internal tools for managing system performance, reliability, and software lifecycles (SDLC) Tackle performance bottlenecks across kernel, file system, and network layers to support low-latency, high-throughput applications Contribute to infrastructure monitoring, data collection pipelines, and real-time analytics Collaborate across teams to align system design with evolving trading and research requirements More ❯
some of the best software engineers in London and a competitive compensation package. What they are looking for: 6+ years of Java development experience. Previous experience with algo or lowlatency development 6+ years of experience developing trading platforms in Core Java Experience in a similar front-office or high paced environment liaising with stakeholders. More ❯
Role: Platform Specialist – LowLatency Infrastructure (ULL) Team: Application Engineer Location: London/hybrid Salary: Up to £280k base + Benefits Our client is a global leader focused on delivering mission-critical, lowlatency infrastructure solutions for high-performance trading environments. They are looking for a highly skilled Platform Specialist to join their talented team and … ensure the highest levels of availability, performance, and security across their lowlatency platform. In this role, you will: Design, document, and enhance platform services including servers, storage, and cloud infrastructure. Provide L3 escalation support to troubleshoot and remediate performance and availability issues. Collaborate with internal and external partners including network, application, quant, and business teams to deliver … scalable solutions. Proactively identify potential system bottlenecks and implement performance tuning and optimizations. Manage and tune Linux systems (RHEL, Rocky, CentOS, OEL) for lowlatency applications, including memory, CPU, and network tuning. Work closely with lowlatency network technologies, including kernel bypass with Solarflare/onload, and understand physical server architecture differences (Intel, AMD, ARM). More ❯
deploy, and manage scalable, secure cloud and datacentre infrastructure to support high-performance trading. Build advanced AWS networking (VPCs, Transit Gateway, Direct Connect, etc.) across accounts and regions. Optimise low-latency connectivity, support collocated servers near exchanges, and implement cost-efficient network solutions. Infrastructure as Code & Automation Automate infrastructure using Terraform, Ansible, and GitLab CI/CD. Apply … network infrastructure using NACLs, Security Groups, and AWS WAF. Ensure compliance with AWS CIS Benchmarks and embed best practices into network design and operations. Performance & Optimization Optimise infrastructure for low-latency, high-availability trading. Collaborate with developers on performance tuning and troubleshoot cross-region network issues. Monitoring & Observability Set up and manage monitoring, alerting, and logging using OpenSearch … container orchestration platforms like Kubernetes (EKS) Experience with monitoring and observability tools including OpenSearch, Prometheus, and Grafana Understanding of security best practices and AWS CIS Benchmark standards Experience with low-latency network design and optimization Strong verbal communication and documentation skills Experience with multi-region and multi-account AWS environments Background in supporting high-performance or financial trading More ❯
of key factors, including design, innovation, technical debt, cost efficiency, and scalability. Qualifications: Back-End Development, Full-Stack Development, API, System Design, AWS skills Experience in building scalable maintainable lowlatency SaaS products Strong problem-solving and analytical skills Ability to work collaboratively in a team environment Excellent communication and time management skills Bachelor's degree in Computer More ❯
business problems and deliver high-quality outcomes. Responsibilities: Enhance network infrastructure and trading system components through the design of high-speed hardware for crucial executions. Conduct research on emerging low-latency techniques and platforms, identifying opportunities for integration into our trading system. Collaborate within a multidisciplinary team consisting of traders, software developers, and infrastructure engineers. Utilize server hardware More ❯
engines will utilize advanced mathematical models and machine learning techniques, ensuring optimal trade execution. You will also build robust execution strategies that operate at nanosecond-level precision, harnessing ultra-lowlatency infrastructure and cutting-edge networking technologies. This includes implementing complex transaction cost analysis tools that evaluate historical and real-time cost metrics, identifying opportunities to minimize trading More ❯