Remote Gas Trading Strategist — Quantitative Markets

Placements24

South Africa

Remote

ZAR 1,800,000 - 3,600,000

Full time

12 days ago
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Benefits offered by this job

Remote work
Competitive salary
Health insurance
Cutting-edge trading technology

Job summary

Placements24 is seeking a highly skilled Remote Gas Trading Strategist to optimize natural gas trading operations. You will develop strategies, analyze market data, and manage risk remotely, contributing to profitability for the firm.

The role emphasizes advanced quantitative modeling and collaboration with trading teams. The candidate should have a PhD/masters in a quantitative field, 5+ years in natural gas or related markets, and proficiency in Python, C++, or R for modeling.

Qualifications

  • Master's degree or Ph.D. in a quantitative field is required.
  • Minimum 5 years in quantitative analysis or trading strategy development in natural gas.
  • Strong programming for quantitative modeling (Python/C++/R).
  • Solid understanding of energy market fundamentals, trading mechanisms and risk.

Responsibilities

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

Skills

Python
C++
R

Education

Master's degree or Ph.D. in Finance, Economics, Mathematics, Statistics, or related quantitative field

Job description

Placements24 is seeking a highly skilled Remote Gas Trading Strategist to optimize natural gas trading operations. You will develop strategies, analyze market data, and manage risk remotely, contributing to profitability for the firm.

The role emphasizes advanced quantitative modeling and collaboration with trading teams. The candidate should have a PhD/masters in a quantitative field, 5+ years in natural gas or related markets, and proficiency in Python, C++, or R for modeling.

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