Remote Senior Energy Trader — High-Impact & Flexible

Placements24

Sandton

Hybrid

ZAR 2,938,000 - 4,571,000

Full time

6 days ago
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Job summary

Placements24 is seeking a highly experienced Senior Energy Trader for a fully remote role. You will develop and execute trading strategies across energy commodities, manage risk, and identify profitable opportunities to optimize a global portfolio.

The ideal candidate has a minimum of 7 years in energy trading, with strong knowledge of physical and financial markets, and proficiency in Excel, Python, and R for data analysis and modeling.

Qualifications

  • Bachelor's degree in finance, economics, mathematics, or related quantitative field.
  • Minimum of 7 years in energy trading, with focus on physical and financial markets.
  • Proficiency with trading platforms and risk management systems (Excel, Python, R).

Responsibilities

  • Develop and execute trading strategies for electricity, natural gas, and other energy commodities across markets.
  • Monitor market trends, news, and economic factors to identify opportunities and risks.
  • Manage trading positions and exposures, implementing risk management to minimize losses.
  • Analyze market data, perform fundamental and technical analysis, and build predictive models.
  • Collaborate with risk management, analytics, and operations teams to ensure seamless execution and compliance.
  • Stay abreast of regulatory changes and market structure developments impacting energy trading.

Skills

Energy trading
Risk management
Data analysis
Negotiation

Education

Bachelor's degree in Finance/Economics/Mathematics
MBA or advanced degree (preferred)

Tools

Excel
Python
R

Job description

Placements24 is seeking a highly experienced Senior Energy Trader for a fully remote role. You will develop and execute trading strategies across energy commodities, manage risk, and identify profitable opportunities to optimize a global portfolio.

The ideal candidate has a minimum of 7 years in energy trading, with strong knowledge of physical and financial markets, and proficiency in Excel, Python, and R for data analysis and modeling.

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