Our client, a leading multi-strategy asset management firm, is seeking a highly capable C++ Market Data Engineer to join their Market Data Team in London. In this role, the successful candidate will contribute to the design and development of a centralised, real-time market data distribution platform that underpins numerous functions across the organisation.
This position requires deep expertise in building high-performance feed handlers for both vendor-supplied and direct market connectivity. The engineer will collaborate closely with infrastructure, trading, and broader technology teams to ensure the platform is robust, efficient, and fully aligned with the firm’s requirements across all asset classes.
Responsibilities
Design, engineer, and fine-tune a high-throughput, low-latency market data distribution platform that delivers reliable, scalable access across the organisation.
Develop, support, and optimise feed handlers for both direct exchange feeds (e.g., NYSE, NASDAQ, CME, Eurex) and vendor-provided market data such as Refinitiv and Bloomberg B-Pipe.
Establish and enhance comprehensive data-quality controls, including validation, monitoring, and resilience mechanisms.
Build and maintain Python-based APIs and data pipelines to enable seamless integration, analytics, and downstream consumption.
Influence and contribute to architectural design decisions, engineering standards, and best practices for a centralised, firm-wide market data platform.
Requirements
Over 6 years of hands-on experience in software engineering with a strong focus on real-time data platforms and distributed system design.
Advanced proficiency in modern C++, including C++14, C++17, and C++20, with a deep understanding of performance-oriented programming.
Proven expertise in low-latency system development, optimisation, and troubleshooting.
Extensive background in building market data feed handlers for both major vendors (Refinitiv, Bloomberg, etc.) and direct exchange protocols such as FIX/FAST, ITCH, and OUCH.
Strong knowledge of real-time data distribution architectures, network transport protocols (TCP, UDP, multicast), and high-performance messaging technologies including Aeron, ZeroMQ, and Kafka.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related technical discipline.