Real-Time Quant Developer — C#/.NET & Trading Systems

Quberesearchandtechnologies

Greater London

On-site

GBP 90,000 - 140,000

Full time

8 days ago

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Job summary

Qube Research & Technologies (QRT) in London is seeking an experienced software developer to build, maintain and evolve trading systems across multiple asset classes. You will work with traders and engineers to preserve production stability while delivering new functionality.

The role demands strong C# and .NET, deep understanding of multithreading and high-performance programming, and a pragmatic approach to complex systems.

Qualifications

  • 6+ years of professional software development experience.
  • Strong C# and .NET development experience.
  • Familiarity with multithreading, concurrency and asynchronous programming.
  • Experience with high performance or real time applications.
  • Knowledge of TCP/IP, messaging, APIs and distributed systems.
  • Strong SQL and relational database knowledge.
  • Experience with unit/integration testing and modern practices.
  • Experience with trading systems is beneficial.

Responsibilities

  • Develop, maintain and enhance trading applications.
  • Investigate production issues and deliver fixes while maintaining stability.
  • Contribute to architecture and development of a new trading platform.
  • Understand workflows and business logic to carry critical functions forward.
  • Collaborate with traders and developers to deliver practical solutions.
  • Improve performance, reliability and maintainability across systems.

Skills

C#
.NET
Multithreading
SQL
Real-time systems
APIs / distributed systems
Testing
Communication

Job description

Qube Research & Technologies (QRT) in London is seeking an experienced software developer to build, maintain and evolve trading systems across multiple asset classes. You will work with traders and engineers to preserve production stability while delivering new functionality.

The role demands strong C# and .NET, deep understanding of multithreading and high-performance programming, and a pragmatic approach to complex systems.

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