C++ SOFTWARE ENGINEER - TRADING SYSTEMS

C++ SOFTWARE ENGINEER - TRADING SYSTEMSUp to 300,000 totalGlobal Quantitative Trading FirmLondon - Hybrid (4 days onsite / 1 remote)Quant Capital is working with a technology-first trading firm to find a C++ Software Engineer to join a highly specialised team building real-time trading infrastructure. The team’s scope covers everything from market data processing and signal evaluation to order routing and execution-giving developers full ownership over performance-critical code.This is a low-latency, high-throughput environment where the software you write is deployed directly into production and contributes to daily trade volumes in the hundreds of billions.Role OverviewYou’ll work in a fast-moving team responsible for the full software lifecycle behind the firm’s core trading platform. In addition to building latency-sensitive code in C++, you’ll have the chance to work on adjacent systems like distributed storage platforms, high-performance compilers, and GPU/FPGA team is highly

technical, cross-functional, and trusted to solve hard problems autonomously.Key ResponsibilitiesDesign and implement high-performance C++ systems used across trading infrastructureWork on projects ranging from real-time market data processing to order executionOptimise systems at the micro-architectural level (cache usage, CPU pipelines, memory layout)Contribute to the design of distributed or parallel computation frameworksCollaborate with researchers, infrastructure teams, and hardware specialistsWrite clean, maintainable, post-C++11 code and modernise existing components where neededWhat You’ll NeedStrong command of modern C++ and associated toolingDeep understanding of system internals: memory management, caching, paging, CPU execution pipelinesSolid knowledge of algorithms, data structures, and performance trade-offsExperience designing complex systems intended for long uptime and high availabilityFamiliarity with Linux systems and tooling is beneficial but not essentialComfortable working independently on technically challenging problemsNo finance background needed-just engineering fluencyWhy Apply?Work on production systems that process hundreds of billions in trading volume dailySolve real performance problems-not proxy metrics or arbitrary benchmarksBlend low-level systems programming with high-level architecture and impactBuild for internal use, with fast deployment cycles and immediate feedbackJoin a small, high-performance team with serious technical ownershipDiscretion guaranteed - we never share your profile without your explicit consent.