Senior C++ Quant Trading Engineer

Theblockchainassociation

Greater London

On-site

GBP 120,000 - 190,000

Full time

8 days ago
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Job summary

Jump Trading Group is seeking an experienced C++ developer to design, implement, and optimize trading algorithms within a high-performance trading environment.

The role requires 5+ years in C++ development and a strong background in algorithmic trading, data processing, and rigorous testing. Collaboration with traders and researchers is essential, with a focus on reliability and scalable performance across HPC clusters.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of C++ development experience in trading systems.
  • Experience developing market order execution algorithms.
  • Experience with large-scale data processing on HPC clusters.
  • Strong problem-solving and testing mindset.
  • Excellent communication and teamwork.

Responsibilities

  • Design, implement, and optimize trading algorithms.
  • Collaborate closely with team members to brainstorm, experiment, and execute innovative trading strategies.
  • Perform comprehensive testing to ensure accuracy, stability, and minimize financial risk.
  • Continuously improve our trading platform's performance with a focus on resource efficiency and hardware optimization.
  • Foster a positive working environment and maintain strong relationships within the team.
  • Other duties as assigned or needed.

Skills

C++ development
Algorithmic trading
Data processing
Analytical thinking
Testing mindset

Education

Bachelor’s or Master’s in CS/Engineering

Job description

Jump Trading Group is seeking an experienced C++ developer to design, implement, and optimize trading algorithms within a high-performance trading environment.

The role requires 5+ years in C++ development and a strong background in algorithmic trading, data processing, and rigorous testing. Collaboration with traders and researchers is essential, with a focus on reliability and scalable performance across HPC clusters.

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