Remote Quantitative Trader & Modeler

Placements24; Kempton Park; Hybrid; ZAR 1,969,000 - 3,117,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Remote work

Job summary

Placements24 is seeking a Quantitative Analyst for a fully remote role working with a pioneering quantitative trading firm. The candidate will design, backtest, and deploy sophisticated trading strategies, analyze large datasets for predictive signals, and build risk management systems in a fast-paced environment.

Experience in Python/C++ and ML methods is essential for success. Ideal candidates hold a Master’s or PhD in a quantitative field, with 3+ years in quantitative analysis or algorithmic

Qualifications

• Master's or Ph.D. in a quantitative field (Math/Stats/Physics/CS/Financial Engineering)
• 3+ years in quantitative analysis, algorithmic trading, or related field
• Strong programming in Python, C++, or similar, with data manipulation libraries

Responsibilities

• Design, develop, and backtest quantitative trading strategies using statistical and machine learning techniques.
• Analyze large datasets to identify patterns, correlations, and predictive signals in financial markets.
• Develop and maintain real-time trading algorithms and risk management systems.
• Collaborate with software engineers to implement and deploy trading strategies in production environments.
• Monitor the performance of trading algorithms and conduct ongoing research to improve effectiveness.
• Perform thorough risk analysis and implement risk mitigation strategies.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Contribute to the continuous improvement of the firm\'s quantitative infrastructure and methodologies.

Skills

Quantitative analysis

Python

C++

Machine learning

Time series

Statistics

Education

Master's or PhD in a quantitative field

Tools

NumPy

Pandas

SciPy

Job description

Placements24 is seeking a Quantitative Analyst for a fully remote role working with a pioneering quantitative trading firm. The candidate will design, backtest, and deploy sophisticated trading strategies, analyze large datasets for predictive signals, and build risk management systems in a fast-paced environment.

Experience in Python/C++ and ML methods is essential for success. Ideal candidates hold a Master’s or PhD in a quantitative field, with 3+ years in quantitative analysis or algorithmic