Quant Systems Developer

Overview

You join a core systems engineering team to build and maintain scalable, low-latency infrastructure that underpins high‑performance trading and large-scale research. You will shape distributed compute and storage solutions, tuning performance across the stack and developing internal tools to manage reliability and lifecycle. This role blends hands-on engineering with cross-team collaboration to meet evolving trading and research needs. Expect impactful work that directly supports data processing and strategy execution at scale, in a fast-paced, confidential environment.

Responsibilities

• Design, develop, and maintain large-scale compute and storage systems used across trading and research
• Architect and implement distributed workload scheduling and fleet orchestration, with performance tuning for a large server estate
• Build internal tools for system performance, reliability, and SDLC lifecycle management
• Tackle bottlenecks across kernel, file system, and network layers to support low-latency, high-throughput apps
• Contribute to infrastructure monitoring, data collection pipelines, and real-time analytics
• Collaborate with teams to align design with trading and research requirements

Key requirements

• Degree in Computer Science, Engineering, or related field, or equivalent hands-on experience (up to 5 years)
• Solid programming ability in Python, Golang, Rust, or similar
• Experience with Linux environments and networking fundamentals (desirable)
• Excellent communication and collaborative, high-performance work style
• Strong organizational and time-management capabilities
• Curiosity, initiative, and ownership of complex problems

• excellent communication
• collaboration
• time management
• Python
• Golang
• Rust

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