Quantitative Analyst: ML-Driven Trading

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

Benefits offered by this job

Competitive bonus

Private healthcare

Retirement plan

Relocation assistance

Job summary

Placements24 in Cape Town seeks a highly skilled Quantitative Analyst to join a leading financial services client. You will design, back-test, and deploy quantitative trading strategies across asset classes, leveraging advanced mathematics and machine learning techniques to gain a market edge.

The role requires a Master’s or PhD in a quantitative field, 3+ years in quantitative finance, and strong programming skills in Python, C++, or R with NumPy, Pandas, and Scikit-learn.

Qualifications

• Master's or Ph.D. in Mathematics, Statistics, Physics, CS or Financial Engineering.
• 3+ years in quantitative analysis, algorithmic trading, or related roles in banking/finance.
• Strong programming skills in Python, C++, or R with NumPy, Pandas, Scikit-learn.
• Deep understanding of financial markets, asset pricing, and derivatives.

Responsibilities

• Design, implement, and test quantitative trading algorithms across asset classes.
• Develop statistical models and ML techniques to identify market patterns and predict price movements.
• Perform rigorous back-testing and performance analysis of trading strategies.
• Collaborate with portfolio managers to integrate models into workflows.
• Optimize trading strategies for efficiency, profitability, and risk management.
• Research new quantitative methods and market microstructure.
• Monitor live strategy performance and adjust as needed.
• Stay abreast of developments in quantitative finance and ML.

Skills

Python

C++

R

NumPy

Pandas

Scikit-learn

Time series analysis

Machine learning

Statistical modeling

Education

Master's or Ph.D. in quantitative field

Tools

Back-testing platforms

risk management frameworks

Job description

Placements24 in Cape Town seeks a highly skilled Quantitative Analyst to join a leading financial services client. You will design, back-test, and deploy quantitative trading strategies across asset classes, leveraging advanced mathematics and machine learning techniques to gain a market edge.

The role requires a Master’s or PhD in a quantitative field, 3+ years in quantitative finance, and strong programming skills in Python, C++, or R with NumPy, Pandas, and Scikit-learn.