Remote Quantitative Developer - Algorithmic Trading

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Health insurance

Stock options

Professional growth

Job summary

Placements24 invites a highly skilled Quantitative Developer to join a premier remote trading team. This role focuses on designing, developing, and implementing high-frequency trading algorithms, back-testing systems, and performance analysis tools for a global client base across South Africa.

You'll collaborate with researchers and traders to translate advanced models into production-ready code, optimize low-latency systems, and stay ahead of market microstructure trends in banking and finance.

Qualifications

• Master's or Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
• Minimum of 4 years of experience in quantitative development or high-frequency trading environments.
• Expert proficiency in C++ and/or Python for low-latency applications.
• Strong understanding of financial markets, derivatives, and trading strategies.
• Experience with real-time data processing and low-latency systems.
• Familiarity with Linux/Unix environments and shell scripting.
• Excellent problem-solving skills and ability to work under pressure.
• Strong communication skills in a remote setting.
• Proven track record of delivering production-ready software.

Responsibilities

• Develop, test, and deploy high-performance algorithmic trading strategies and systems.
• Implement low-latency trading infrastructure and optimize execution algorithms.
• Design and build robust back-testing frameworks and simulation environments.
• Collaborate with quantitative researchers to refine and implement trading models.
• Analyze trading performance data to identify areas for improvement and optimization.
• Write clean, efficient, and well-documented code in languages such as C++, Python, or Java.
• Monitor and troubleshoot live trading systems, ensuring stability and reliability.
• Stay abreast of market microstructure, new technologies, and quantitative finance trends.
• Contribute to the continuous improvement of the firm's trading technology stack.
• Participate in code reviews and knowledge sharing sessions.

Skills

C++

Python

Low-latency systems

Quantitative mindset

Education

Master's or Ph.D. in CS/Engineering/Math/Physics

Tools

Linux/Unix

Shell scripting

Job description

About the Role

Our client, a sophisticated quantitative trading firm, is seeking a highly skilled Quantitative Developer to join their elite team. This is a completely **Remote** position, offering a unique opportunity for top-tier talent across **South Africa** to contribute to cutting-edge financial technology. The successful candidate will be responsible for designing, developing, and implementing high-frequency trading algorithms, back-testing systems, and performance analysis tools. You will work closely with quantitative researchers and traders to translate theoretical models into robust, production-ready code. This role demands exceptional programming skills, a deep understanding of financial markets, and a passion for performance optimization and low-latency systems within the **banking & finance** domain. As a fully remote organization, we foster a culture of autonomy, innovation, and collaboration through advanced digital platforms, ensuring you have the support needed to excel from anywhere.

Key Responsibilities

• Develop, test, and deploy high-performance algorithmic trading strategies and systems.
• Implement low-latency trading infrastructure and optimize execution algorithms.
• Design and build robust back-testing frameworks and simulation environments.
• Collaborate with quantitative researchers to refine and implement trading models.
• Analyze trading performance data to identify areas for improvement and optimization.
• Write clean, efficient, and well-documented code in languages such as C++, Python, or Java.
• Monitor and troubleshoot live trading systems, ensuring stability and reliability.
• Stay abreast of market microstructure, new technologies, and quantitative finance trends.
• Contribute to the continuous improvement of the firm's trading technology stack.
• Participate in code reviews and knowledge sharing sessions.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
• Minimum of 4 years of experience in quantitative development, algorithmic trading, or a similar role in high-frequency trading environments.
• Expert proficiency in C++ and/or Python for low-latency applications.
• Strong understanding of financial markets, derivatives, and trading strategies.
• Experience with real-time data processing and low-latency systems.
• Knowledge of statistical modeling, signal processing, and optimization techniques.
• Familiarity with Linux/Unix environments and shell scripting.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication skills, with the ability to articulate technical concepts effectively in a **Remote** setting.
• Proven track record of delivering high-quality, production-ready software.

Benefits

• Highly competitive salary and substantial performance-based bonuses.
• Fully **Remote** work arrangement, offering exceptional flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous annual leave and paid time off.
• Opportunities for professional growth and development in a rapidly evolving field.
• Contribution to retirement savings plans.
• Access to state-of-the-art technology and trading infrastructure.
• A dynamic and intellectually stimulating work environment, accessible from **Nelspruit** or any approved remote location.
• Potential for stock options or long-term incentives.