Hybrid Python Engineer for Real-Time Trading Systems

Hybrid Python Engineer for Real-Time Trading Systems

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

At a Glance

  • Tasks: Design and build reliable software for high-speed trading systems.
  • Company: Join a leading market-making firm with a dynamic tech culture.
  • Benefits: Flexible work options, competitive salary, and opportunities for growth.
  • Other info: Exciting projects and a chance to own your work in a vibrant environment.
  • Why this job: Make an impact in fast-paced trading while collaborating with top engineers.
  • Qualifications: Experience in Python, Linux, and SQL; strong problem-solving skills.

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

Radley James is seeking a Python Engineer to join a high-speed market making firm.

You will design reliable systems, improve scalability, and build software that operates at significant scale in a fast-moving trading environment.

The role offers chances to own meaningful projects, build high-quality software with Linux and SQL, and collaborate with exceptional engineers across technology and trading teams.

Flexible work from home with at least two days in the office.

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Hybrid Python Engineer for Real-Time Trading Systems employer: Radley James

Radley James is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the tech industry. With a focus on collaboration and employee growth, team members are encouraged to take ownership of their projects while working with cutting-edge technologies in a hybrid London setting. The company values creativity and offers unique opportunities for professional development, making it an ideal place for passionate individuals seeking meaningful and rewarding careers.

Radley James

Contact Details:

Radley James Recruitment Team

We think you need these skills to ace Hybrid Python Engineer for Real-Time Trading Systems

Python
System Design
Scalability Improvement
Software Development
Linux
SQL
Collaboration