REF: 12078

C++ Quant Developer | London | Office Only | Contract
Location: London (Office Only)
Contract Type: Contract
Salary: £900-£925 per day
About the Role
A top-tier Financial Services firm is looking for a highly skilled C++ Quant Developer to join their team. This role requires expert-level C++ programming skills and the ability to implement algorithmic trading strategies.

Key Responsibilities

• Develop and optimize low-latency, event-driven trading systems
• Implement and fine-tune algorithmic trading strategies in C++Work with multithreading, inter-process communication, and modern C++ (20
• 23)
• Collaborate with quants and traders to enhance system performance
• Utilize Python for data analysis, scripting, and secondary development

Key Requirements

Expert-level C++ (including modern C++ 20

• 23, low latency, and multithreading)
• Strong experience with event-driven architecture design
• Intermediate Python skills for analytics and scripting
• Experience working in a high-performance trading environment
• Proven ability to develop and implement quantitative trading strategies

Why Join?

• Work with a leading financial institution
• Engage in cutting-edge algorithmic trading projects
• Competitive day rate (£900-925 per day)

• Opportunity to work with the latest C++ technologies

• • Consultant: Sean Turner
    LinkedIn||Email
    At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don’t meet every qualification.
    If you’re excited about a role but don’t perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise

• Develop and optimize low-latency, event-driven trading systems
• Implement and fine-tune algorithmic trading strategies in C++Work with multithreading, inter-process communication, and modern C++ (20
• 23)
• Collaborate with quants and traders to enhance system performance
• Utilize Python for data analysis, scripting, and secondary developmen