Remote Quantitative Trading Strategist High-Frequency Edge

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

Benefits offered by this job

Health insurance package

Performance bonuses

Profit-sharing opportunities

Home office setup allowance

Job summary

Placements24 seeks an experienced Remote Algorithmic Trading Strategist to design, backtest, and deploy high- and mid-frequency strategies for multiple asset classes. You will analyze data, refine parameters, and collaborate with engineers to ensure robust live execution.

The role requires 5+ years in algorithmic trading, strong programming skills in Python/C++/Java, and deep knowledge of statistics, ML, and market dynamics. Fully remote with global collaboration.

Qualifications

• Master's or Ph.D. in a quantitative discipline (e.g., CS, Stats, Mathematics, Physics, Financial Engineering).
• Minimum of 5 years of experience in algorithmic trading strategy development.
• Proficiency in Python, C++, or Java in quantitative finance contexts.
• Strong grasp of statistical modeling, time series analysis, ML, and data mining techniques.
• Experience with large datasets and performance optimization.

Responsibilities

• Design, develop, backtest, and deploy high-frequency and mid-frequency trading strategies across asset classes.
• Conduct in-depth quantitative research to identify new trading opportunities and inefficiencies.
• Analyze historical and real-time market data to refine strategy parameters and improve performance.
• Collaborate with software engineers to implement trading algorithms robustly.
• Monitor live trading performance and implement timely solutions.
• Stay current with advancements in quantitative finance, ML, and trading technologies.
• Contribute to intellectual property through innovative strategy development.

Skills

Python

C++

Java

Time series analysis

Machine learning

Data mining

Performance optimization

Statistical modeling

Education

Master's or PhD in quantitative field

Job description

Placements24 seeks an experienced Remote Algorithmic Trading Strategist to design, backtest, and deploy high- and mid-frequency strategies for multiple asset classes. You will analyze data, refine parameters, and collaborate with engineers to ensure robust live execution.

The role requires 5+ years in algorithmic trading, strong programming skills in Python/C++/Java, and deep knowledge of statistics, ML, and market dynamics. Fully remote with global collaboration.