Senior Quant Trader — Hybrid, High-Impact Trading

Placements24; Noord-Kaap; Hybrid; ZAR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Base salary plus bonuses

Profit sharing

Health insurance

Hybrid work arrangement

Professional development

Job summary

Placements24 is seeking a Senior Quantitative Trader for a hybrid role in Kimberley. You will develop, backtest, and implement algorithmic strategies across equities, futures, and FX, while collaborating with researchers and developers to optimize models and infrastructure.

You will manage risk, monitor P&L, and ensure regulatory compliance in a fast-paced trading environment. A strong academic background and proven execution track record are essential.

Qualifications

• Master's or Ph.D. in Finance, Mathematics, Statistics, Physics or CS.
• 5+ years in quantitative or algorithmic trading.
• Proven track record in developing and implementing trading strategies.
• Strong programming skills: Python, C++, or Java.

Responsibilities

• Develop, backtest, and deploy quantitative trading strategies across asset classes.
• Execute trades using proprietary systems and manage risk exposure.
• Analyze market data to identify opportunities and refine parameters.
• Monitor P&L and performance; adjust strategies as needed.
• Collaborate with researchers and technologists to validate models.
• Enhance trading infrastructure with software developers.
• Ensure compliance with regulations and firm policies.
• Manage portfolio risk and adhere to risk limits.
• Stay updated on market and tech developments.
• Provide insights to support desk objectives.

Skills

Python

C++

Java

Statistical analysis

Risk management

Real-time data analysis

Team collaboration

Education

Master's or Ph.D. in quantitative field

Tools

Trading systems

Backtesting

Job description

Placements24 is seeking a Senior Quantitative Trader for a hybrid role in Kimberley. You will develop, backtest, and implement algorithmic strategies across equities, futures, and FX, while collaborating with researchers and developers to optimize models and infrastructure.

You will manage risk, monitor P&L, and ensure regulatory compliance in a fast-paced trading environment. A strong academic background and proven execution track record are essential.