Quantitative Gas Analyst

Trafigura

Not specified
Python and sql proficiency for data analysis
Natural gas or lng market fundamentals knowledge
Statistical modeling and time series analysis skills
The Quantitative Gas Analyst position at Trafigura focuses on providing quantitative analysis to support gas trading decisions, involving model development and market research. The ideal candidate will possess strong analytical skills and experience in energy markets, particularly natural gas and LNG, while proficiency in data analysis tools like Python and SQL is essential

Job Summary

  • The role sits at the intersection of trading, data science, and market research to provide rigorous quantitative analysis for gas trading decisions.
  • Candidates will build fundamental supply/demand models for key gas markets in Europe, Asia, and the Americas while developing statistical models to identify trading signals.
  • The position requires close collaboration with traders, risk managers, and technology teams to integrate analytical outputs into trading systems and dashboards.

Matching Summary

Match Score: 85

The Quantitative Gas Analyst position at Trafigura focuses on providing quantitative analysis to support gas trading decisions, involving model development and market research. The ideal candidate will possess strong analytical skills and experience in energy markets, particularly natural gas and LNG, while proficiency in data analysis tools like Python and SQL is essential.

Skills & Requirements

Must-have

  • Python and SQL proficiency for data analysis
  • Natural gas or LNG market fundamentals knowledge
  • Statistical modeling and time series analysis skills
  • Experience with large dataset management and cleaning

Nice-to-have

  • Machine learning techniques applied to energy markets
  • Knowledge of European or Asian gas market structures
  • Familiarity with Bloomberg, Platts, or ICIS data platforms
  • Exposure to risk management frameworks like VaR

Key Requirements

  • Bachelor's or Master's degree in a quantitative discipline
  • 2–5 years of experience in quantitative or analytical roles within energy markets
  • Strong proficiency in Python (pandas, NumPy, scikit-learn) and/or R

Work Rights

Not specified

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