Low-Latency Quant Dev – Production C++ Systems (Remote)

Low-Latency Quant Dev – Production C++ Systems (Remote)

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and optimise high-performance C++ trading systems for a global trading firm.
  • Company: Join a leading proprietary trading firm with a focus on innovation.
  • Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with traders and researchers in a fast-paced, technical setting.
  • Why this job: Make an impact by translating trading ideas into robust systems in a dynamic environment.
  • Qualifications: Strong C++ skills and a passion for quantitative research and trading.

The predicted salary is between 63000 - 77000 Β£ per year.

Understanding Recruitment is hiring a Quant Dev to work on systems underpinning a global proprietary trading firm.

The role blends quantitative research, trading logic, and high-performance C++ engineering to build and optimise latency-sensitive trading systems under real production load.

You will translate trading ideas into robust, production-grade C++ systems, focusing on latency, reliability, and scalability while collaborating with traders and researchers in a highly technical environment.

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Low-Latency Quant Dev – Production C++ Systems (Remote) employer: Understanding Recruitment

As a leading GreenTech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and sustainability. Our employees enjoy a competitive benefits package, flexible working arrangements, and ample opportunities for professional growth, all while contributing to impactful clean energy projects that make a difference in the world.

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Contact Details:

Understanding Recruitment Recruitment Team

We think you need these skills to ace Low-Latency Quant Dev – Production C++ Systems (Remote)

C++ Programming
Quantitative Research
Trading Logic
High-Performance Computing
Latency Optimisation
System Reliability
Scalability