Additionalinformation

Additional Information

Additional Preferred Qualifications

• Familiarity with China’s national carbon market policies;
• Experience in energy demand forecasting, industry supply-demand modelling, or decarbonization pathway research;
• Understanding of high-emission sectors such as power, steel, cement, electrolytic aluminum, petrochemicals, and chemicals;
• Internship experience in energy consulting, securities research, industry research, or ESG research;
• Ability to conduct automated data processing, regression analysis, scenario forecasting, or visualization.

Only successful candidates will be contacted.

Companydescription

Company Description

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.

For more information: vitol.com

Jobdescription

Job Description

We are looking for a research intern to support a medium- to long-term forecasting project on China’s carbon market.

The intern will help track policy developments, collect sector data, and build a forecasting framework for carbon emissions and allowance demand through 2035, focusing on key sectors covered by China’s national carbon market.

Key Responsibilities

• Track China carbon market policies, regulatory updates and sector expansion progress
• Collect and organize data on output, capacity, energy consumption, fuel mix and sector demand
• Support carbon emissions and allowance demand forecasting for key sectors through 2035
• Analyze sector activity levels, energy intensity, emission factors and decarbonisation pathways
• Build structured databases, charts and model documentation
• Conduct scenario and sensitivity analysis using Excel, Python or R

Qualifications

• Senior undergraduate or postgraduate student in energy economics, environmental economics, finance, statistics, economics, power, materials, environmental studies or related fields
• Strong interest in China’s carbon market, energy transition and macro / industry research
• Good research, data collection and analytical skills
• Proficient in Excel; Python, R or SQL experience preferred
• Familiarity with energy demand forecasting, carbon accounting, scenario analysis or supply-demand modelling is a plus
• Knowledge of power, steel, cement, aluminium, petrochemicals or chemicals sectors preferred
• Able to read Chinese and English materials
• Detail-oriented, diligent and able to work independently
• Able to commit to at least 3 days per week

Application

Please provide your academic ranking during university.