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Qube Research & Technologies

Quantitative Developer - Digital Assets (C++)

London, England, United Kingdom

Location
London, England, United Kingdom
Work
Not stated
Employment
Full-time
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
2 months ago

About the role

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for a developer with 3+ years of experience in a quant trading environment to work directly with traders and quant researchers.

Your future role within QRT

  • Key member to the success of high-frequency and low latency crypto trading
  • Enrich and implement alpha and trading algorithms
  • Implement specific market rules for the main crypto markets
  • Collaborate with the traders and quant researchers on providing efficient research platform and tools

Your present skillset

  • Computer Science degree or equivalent
  • Strong C++ 20/23 development experience on a Linux environment
  • Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions
  • Familiar with HPC in Cloud environment, good level of Python
  • Good communication skills in a dynamic and international environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Source

Posted by Qube Research & Technologies on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 00:16 UTC; the original is the reference.

View the original ad ↗

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