C++ Developer/Engineer (Distributed Risk Systems)

C++ Developer/Engineer (Distributed Risk Systems)

Job Description

[Please reach out to Paul Redman for Comp Package Information | Hybrid Working]

Do you enjoy solving complex data flow and architecture challenges in high-stakes environments? This is your chance to join a leading global trading firm as they rebuild their risk infrastructure from the ground up. As a C++ Developer/Engineer in the Risk Technology team, you’ll design and build the backbone of the firm’s real-time risk and trading data platform - processing millions of messages across trading, inventory, and PnL systems. With a strong focus on performance, scalability, and modern software architecture, this is a role for engineers who enjoy deep technical challenges and building clean, maintainable systems...

Key Responsibilities

• Design and develop performant C++ components to support real-time trade capture, inventory tracking, and PnL computation
• Contribute to the evolution of a modern, service-oriented risk architecture, replacing legacy systems with scalable, distributed components
• Optimise performance of critical data flows in a low-latency, high-throughput environment
• Work across teams globally to ensure high code quality, reliability, and transparency in production
• Collaborate on the development of APIs, messaging layers, and internal routing logic that underpin trade risk and inventory systems
• Participate in code reviews, architectural discussions, and ongoing efforts to modernise the platform's tooling and deployment approach

What You Bring...

• 4+ years of experience building production-grade C++ systems in Linux environments
• Solid understanding of algorithms, memory management, and data structures
• Exposure to Python, Bash, or Q/KDB environments
• Comfortable working on complex, distributed systems with rapidly changing datasets
• Strong communication and collaboration skills, especially across global teams
• (Preferred) Experience working with service-oriented architectures or microservices
• (Preferred) Familiarity with messaging frameworks such as Kafka, AMPS, or QPID

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