Low-Latency Quant Dev (C++) – Remote & Flexible

Understanding Recruitment

Germany (OH)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Remote setup

Job summary

Understanding Recruitment is seeking a Quant Dev to work on latency-sensitive trading systems for a global proprietary trading firm. The role blends quantitative research with high-performance C++ engineering.

You will translate ideas into production-grade systems, focus on latency, reliability, and scalability, and collaborate with traders, researchers, and engineers in a lean, technical environment.

Qualifications

  • Strong modern C++ experience in backend or systems engineering.
  • Experience building high-performance, low-latency or high-throughput systems.
  • Solid understanding of multithreading, concurrency, and distributed systems concepts.
  • Strong analytical and problem-solving capabilities.
  • Experience working in Linux environments.
  • Exposure to trading systems, quant infrastructure, HFT, or market-making environments is beneficial.
  • Strong debugging and performance optimisation capabilities.

Responsibilities

  • Build and optimise low-latency trading systems and strategy infrastructure.
  • Translate quantitative research and trading logic into production-grade C++ systems.
  • Improve latency, throughput, and reliability across live trading infrastructure.
  • Work on multithreaded and performance-critical backend systems in production.
  • Collaborate with traders, researchers, and engineers on strategy implementation and optimisation.
  • Debug and resolve complex performance and infrastructure bottlenecks across live environments.

Skills

Modern C++
Low-latency systems
Multithreading
Distributed systems
Linux
Trading systems exposure
Performance debugging

Job description

Understanding Recruitment is seeking a Quant Dev to work on latency-sensitive trading systems for a global proprietary trading firm. The role blends quantitative research with high-performance C++ engineering.

You will translate ideas into production-grade systems, focus on latency, reliability, and scalability, and collaborate with traders, researchers, and engineers in a lean, technical environment.

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