Quantitative Trader - Algorithmic Strategies

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Remote work

Bonuses

Top tech

Global team

Job summary

Placements24 is seeking a highly skilled Quantitative Trader for a remote-first firm specializing in algorithmic trading across global markets. Develop, implement, and manage strategies using large datasets and cutting-edge tech.

The role offers significant performance-based bonuses, an elite technical team, and the flexibility of fully remote work. Advanced degrees and strong programming skills in Python, C++, or Java are required.

Qualifications

• Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Physics, Computer Science, or Statistics.
• Proven experience in quantitative trading, algorithmic strategy development, or related quantitative finance roles.
• Strong programming skills in languages like Python, C++, or Java.
• Deep understanding of financial markets, statistical modeling, and econometrics.
• Experience with data analysis, backtesting platforms, and risk management techniques.
• Ability to work independently and effectively in a remote team setting.

Responsibilities

• Research, design, and backtest quantitative trading strategies.
• Implement and deploy trading algorithms in a live trading environment.
• Monitor strategy performance, identify issues, and perform necessary adjustments.
• Analyze market data to identify new trading opportunities and patterns.
• Collaborate with developers and researchers to enhance trading infrastructure and models.
• Manage risk exposure related to trading activities.

Skills

Quantitative trading

Algorithmic strategy development

Risk management

Remote work independence

Education

Master's or Ph.D. in quantitative field

Tools

Python

C++

Java

Job description

About the Role

Our client, a sophisticated quantitative trading firm with a remote-first culture, is seeking a highly skilled Quantitative Trader. This role involves developing, implementing, and managing algorithmic trading strategies across various financial markets. You will work with cutting-edge technology and large datasets to identify profitable trading opportunities, optimize execution, and manage risk. This position is ideal for a quantitative expert who thrives in a fast-paced, intellectually stimulating environment and can contribute significantly to alpha generation, operating effectively in a remote capacity, even from locations like Nelspruit.

Key Responsibilities

• Research, design, and backtest quantitative trading strategies.
• Implement and deploy trading algorithms in a live trading environment.
• Monitor strategy performance, identify issues, and perform necessary adjustments.
• Analyze market data to identify new trading opportunities and patterns.
• Collaborate with developers and researchers to enhance trading infrastructure and models.
• Manage risk exposure related to trading activities.

Requirements

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Finance, Mathematics, Physics, Computer Science, or Statistics.
• Proven experience in quantitative trading, algorithmic strategy development, or related quantitative finance roles.
• Strong programming skills in languages like Python, C++, or Java.
• Deep understanding of financial markets, statistical modeling, and econometrics.
• Experience with data analysis, backtesting platforms, and risk management techniques.
• Ability to work independently and effectively in a remote team setting.

Benefits

• Exceptional salary and significant performance-based bonuses.
• Access to state-of-the-art trading technology and infrastructure.
• Opportunities for professional growth and advancement in a highly specialized field.
• Fully remote work arrangement, offering ultimate flexibility.
• Collaborate with a world-class team of quants and engineers globally.