Remote Lead Algo Trader — High-Frequency Strategies

Placements24; Cape Town; Hybrid; ZAR 900,000 - 1,800,000; Full time

Job summary

Placements24 is seeking a Lead Algorithmic Trader for a fully remote role with a Cape Town hub. You will design and deploy high-frequency trading algorithms and optimize execution in a fast-paced, globally distributed environment.

The ideal candidate has MSc or PhD in a quantitative field, 5+ years of algo trading experience, and expert programming in C++, Python or Java. ML experience in trading is a strong plus.

Qualifications

• Advanced degree in a quantitative field.
• 5+ years of algorithmic or quantitative trading experience.
• Expert programming in C++, Python, or Java.
• Deep understanding of financial markets, order book dynamics.
• Experience applying ML to trading is desirable.
• Strong analytical and statistical modelling skills.
• Ability to work independently in a remote setting.

Responsibilities

• Design and test quantitative trading algorithms across asset classes.
• Develop and refine execution strategies to minimize market impact and improve fills.
• Research market microstructure and identify new opportunities.
• Monitor real-time trading systems for stability and performance.
• Analyze trading performance and implement improvements.
• Collaborate with technology teams to enhance trading infrastructure.
• Mentor junior traders and researchers.
• Stay updated with advancements in algorithmic trading and ML.

Skills

MSc/PhD in quantitative field

5+ years algo trading

C++/Python/Java

ML in trading

Statistical modelling

Education

MSc or PhD in quantitative field

Tools

C++

Python

Java

Job description

Placements24 is seeking a Lead Algorithmic Trader for a fully remote role with a Cape Town hub. You will design and deploy high-frequency trading algorithms and optimize execution in a fast-paced, globally distributed environment.

The ideal candidate has MSc or PhD in a quantitative field, 5+ years of algo trading experience, and expert programming in C++, Python or Java. ML experience in trading is a strong plus.