Senior Quant Developer — Remote HFT Trading

Placements24; Vereeniging; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

High base salary and bonuses

Health, dental, and vision insurance

Generous paid time off

Retirement savings plan

Job summary

Placements24 is recruiting a Senior Quantitative Developer for a remote-first hedge fund. You will design, build, and maintain high-performance trading systems and analytics platforms in close collaboration with researchers and traders.

The role requires a PhD or Master's in a quantitative field, at least 6 years of experience, and expert C++/Python skills to optimize performance in a fast-paced financial environment.

Qualifications

• Master's or PhD in Computer Science, Engineering, Mathematics, or related quantitative field.
• Minimum of 6 years of experience in quantitative development.
• Expert proficiency in C++ and/or Python, with a strong emphasis on performance optimization.
• Experience with financial markets, trading systems, and order execution.
• Excellent analytical and problem-solving skills; strong communication in a distributed remote team.

Responsibilities

• Design, develop, and optimize high-frequency trading algorithms and execution systems.
• Implement quantitative models and statistical research into production-ready code.
• Develop and maintain low-latency data processing and analytics infrastructure.
• Collaborate with quants and traders to understand requirements and deliver effective solutions.
• Mentor junior developers and promote best practices in software engineering.
• Contribute to architectural design decisions and technology roadmap development.

Skills

C++

Python

High-performance computing

Data structures & algorithms

Education

Master's or PhD in CS/Engineering/Math

Tools

Linux/Unix

Trading systems

Job description

Placements24 is recruiting a Senior Quantitative Developer for a remote-first hedge fund. You will design, build, and maintain high-performance trading systems and analytics platforms in close collaboration with researchers and traders.

The role requires a PhD or Master's in a quantitative field, at least 6 years of experience, and expert C++/Python skills to optimize performance in a fast-paced financial environment.