C++23 Engineer - Greenfield Low-Latency Market Data

C++23 Engineer - Greenfield Low-Latency Market Data

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Selby Jennings

At a Glance

  • Tasks: Develop a high-performance market data platform using C++23.
  • Company: Join a top-tier quantitative trading firm in Greater London.
  • Benefits: Competitive salary and the chance to work on innovative projects.
  • Other info: Collaborate with quantitative teams in a dynamic engineering environment.
  • Why this job: Be at the forefront of low-latency technology and make a real impact.
  • Qualifications: Experience in production trading systems and low-latency environments.

The predicted salary is between 60000 - 80000 Β£ per year.

Selby Jennings is partnering with a top-tier quantitative trading firm to build a greenfield tick-data and market-data platform in Greater London. The role requires hands-on development in C++23, focusing on performance-critical systems and latency optimisation.

Ideal candidates will have experience in production trading systems and a strong understanding of low-latency environments. The position offers the opportunity to work closely with quantitative teams and engage in cutting-edge engineering.

C++23 Engineer - Greenfield Low-Latency Market Data employer: Selby Jennings

Join a leading quantitative trading firm in Greater London, where innovation meets excellence. As a C++23 Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and cutting-edge technology, offering ample opportunities for professional growth and development. With a focus on performance-critical systems, you'll be part of a team that values your expertise and encourages you to push the boundaries of low-latency market data solutions.

Selby Jennings

Contact Details:

Selby Jennings Recruitment Team

We think you need these skills to ace C++23 Engineer - Greenfield Low-Latency Market Data

C++23
Performance Optimisation
Low-Latency Systems
Production Trading Systems
Market Data Platforms
Hands-on Development
Quantitative Analysis