High-Performance Trading Solutions Developer

1 week ago


London, Greater London, United Kingdom Xcede Full time

Xcede, an elite Systematic Trading firm, is seeking a skilled C++ Software Engineer with 3+ years of experience in building and optimizing latency-sensitive Algorithmic and Automated trading solutions. The successful candidate will be part of the Trading Technology group and work closely with Portfolio Management, Trading, Quant Research, and AI Research teams.

The ideal candidate will have a strong background in Computer Science, Software Engineering, or a related field, with excellent C++ and OO knowledge and skills, including Multithreading, Concurrency, Polymorphism, STL, and Metaprogramming. Linux fundamentals knowledge and understanding of TCP/IP and Socket Programming are also essential.

This is a fantastic opportunity for an individual to work across core functionality of the business within the first 18 months, covering Backtesting/Simulations tools, Algo Execution, Order Book (OMS), Market Data, Connectivity, and Risk and Analytics tools.

Key Responsibilities:
  • Design and develop high-performance trading solutions using C++20 and C++23
  • Collaborate with cross-functional teams to identify and prioritize project requirements
  • Implement and optimize Algorithmic and Automated trading solutions

The salary for this position is estimated to be around $120,000-$150,000 per year, depending on location and experience. Xcede offers a competitive benefits package, including comprehensive health insurance, retirement plans, and professional development opportunities.

Candidates suited to this collaborative Fund require:

  • Computer Science/Software Engineering/Physics Degree(s) with 1st/Distinction achieved
  • 3+ years commercial experience post-graduation
  • Excellent C++ and OO knowledge and skills, including Multithreading, Concurrency, Polymorphism, STL, and Metaprogramming
  • Linux fundamentals knowledge
  • Understanding of TCP/IP and exposure to Socket Programming
  • Genuine interest in Financial Markets


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