Remote Quantitative Analyst - Trading Strategies

Placements24; Upington; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Performance bonuses

Profit-sharing

Fully remote

Health insurance (comprehensive)

Professional development budget

Job summary

Placements24 seeks a highly skilled Remote Quantitative Analyst to design and backtest trading strategies from home. You’ll leverage advanced statistics to build profitable algorithms, work with large datasets, and collaborate with portfolio managers on an algorithmic trading desk.

The ideal candidate has a strong quantitative finance background, expert programming skills in Python/C++/R, and deep knowledge of time series analysis, market microstructure, and derivatives.

Qualifications

• Master's or PhD in a quantitative field.
• Proven experience as a Quantitative Analyst in a trading environment.
• Expertise in Python, C++, or R.
• Strong knowledge of statistical modeling, time series analysis, and machine learning.
• Deep understanding of financial markets, derivatives, and trading execution.

Responsibilities

• Design, develop, and implement quantitative trading strategies across various asset classes.
• Conduct rigorous backtesting and statistical analysis of trading algorithms.
• Analyze market data to identify trading opportunities and patterns.
• Collaborate with traders and portfolio managers to optimize strategy performance.
• Develop and maintain high-quality code for trading systems and analytical tools.
• Research and implement new quantitative methodologies and technologies.

Skills

Python

C++

R

Statistical modeling

Time series analysis

Machine learning

Quantitative finance

Education

Master's or PhD in a quantitative field

Tools

Backtesting frameworks

Git

Job description

About the Role

Our client is seeking a highly skilled and innovative Remote Quantitative Analyst to develop and refine cutting-edge trading strategies from home. This role involves leveraging advanced statistical and mathematical techniques to design, backtest, and implement profitable trading algorithms. You will work with large datasets, collaborate with portfolio managers, and contribute to the firm's algorithmic trading desk's success. The ideal candidate has a strong background in quantitative finance, exceptional programming skills, and a deep understanding of market microstructure and financial modeling. This is a unique opportunity to apply your quantitative expertise in a challenging and rewarding remote environment.

Key Responsibilities

• Design, develop, and implement quantitative trading strategies across various asset classes.
• Conduct rigorous backtesting and statistical analysis of trading algorithms.
• Analyze market data to identify trading opportunities and patterns.
• Collaborate with traders and portfolio managers to optimize strategy performance.
• Develop and maintain high-quality code for trading systems and analytical tools.
• Research and implement new quantitative methodologies and technologies.

Requirements

• Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
• Proven experience as a Quantitative Analyst or similar role in a trading environment.
• Expertise in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
• Strong knowledge of statistical modeling, time series analysis, and machine learning techniques.
• Deep understanding of financial markets, derivatives, and trading execution.
• Excellent analytical, problem-solving, and critical thinking skills.

Benefits

• Highly competitive salary, performance bonuses, and profit-sharing.
• Fully remote position offering significant flexibility and autonomy.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, conferences, and educational resources.
• Opportunity to work with state-of-the‑art technology and contribute to innovative trading strategies .