Remote Gas Trading Strategist: Quantitative Strategy Lead

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Performance bonus

Health, life, and disability insurance

Job summary

Placements24 seeks a Remote Gas Trading Strategist to develop and implement quantitative trading strategies for the natural gas market. You will analyze market data, forecast prices, and monitor risk from a fully remote setup.

The ideal candidate holds a Master’s or PhD in a quantitative field, at least five years of relevant experience, and strong programming skills. This role offers a competitive salary, a substantial performance bonus, and state-of-the-art trading tools.

Qualifications

• Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or related field.
• Minimum of 5 years of experience in quantitative analysis or trading strategy development, specifically in natural gas.
• Proficiency in Python, C++, or R for quantitative modeling.
• Deep understanding of energy market fundamentals, trading mechanisms, and risk management.

Responsibilities

• Develop, test, and implement quantitative trading strategies for the natural gas market.
• Analyze market data, including prices, volumes, weather, and geopolitical events, to identify opportunities.
• Manage and monitor trading positions, ensuring adherence to risk limits.
• Collaborate with traders and risk managers to refine strategies and market views.
• Build and maintain models to forecast gas prices and market dynamics.
• Stay current with industry trends, regulatory changes, and technological advancements in gas trading.

Skills

Quantitative analysis

Trading strategies

Risk management

Education

Master's or PhD in quantitative field

Tools

Python

C++

R

Job description

Placements24 seeks a Remote Gas Trading Strategist to develop and implement quantitative trading strategies for the natural gas market. You will analyze market data, forecast prices, and monitor risk from a fully remote setup.

The ideal candidate holds a Master’s or PhD in a quantitative field, at least five years of relevant experience, and strong programming skills. This role offers a competitive salary, a substantial performance bonus, and state-of-the-art trading tools.