Crypto Quant Trader & Algo Developer (Hybrid)

Placements24; Pretoria; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Job summary

Placements24 is seeking a highly analytical Cryptocurrency Trader and Quantitative Analyst in Pretoria, Gauteng, offering a hybrid work model. You will develop and deploy data-driven trading strategies, backtest algorithms, and manage portfolio risk in volatile crypto markets.

The role requires strong programming skills (Python/R/C++), expertise in time series analysis and ML techniques, and a track record in quantitative finance.

Qualifications

• Experience in quantitative trading or analytical finance.
• Strong understanding of cryptocurrency markets and trading mechanisms.
• Proficiency in Python, R, or C++.
• Experience with data analysis and visualization tools.
• Degree in a quantitative field.

Responsibilities

• Develop and implement quantitative trading strategies for cryptocurrencies.
• Analyze market data, identify trends, and extract actionable insights.
• Build, backtest, and optimize trading algorithms using statistical and ML models.
• Execute trades, monitor portfolio performance, and manage risk.
• Collaborate with software engineers to integrate strategies into production systems.
• Stay informed about market news, regulatory changes, and technological advancements.

Skills

Quantitative trading

Analytical thinking

Risk management

Decision making under pressure

Problem solving

Team collaboration

Education

Bachelor's/Master's in Finance, Economics, Mathematics, or Computer Science

Tools

Python

R

C++

Backtesting

Machine learning

Data visualization

Job description

Placements24 is seeking a highly analytical Cryptocurrency Trader and Quantitative Analyst in Pretoria, Gauteng, offering a hybrid work model. You will develop and deploy data-driven trading strategies, backtest algorithms, and manage portfolio risk in volatile crypto markets.

The role requires strong programming skills (Python/R/C++), expertise in time series analysis and ML techniques, and a track record in quantitative finance.