LNG Market Analyst

Cobblestone Energy

Posted on 8 Sep

Experience

3 - 8 Years

Education

Bachelor of Business Administration(Management)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Cobblestone Values
Lifelong learning with continuous reflection
Independent thinking through a meritocracy of ideas


The team is more important than the individual.

Relentless pursuit of excellence
Hiring and keeping only the most effective people


Others must benefit from our existence.

Hardworking
Role Summary


You will own and refine Cobblestone s global LNG supply demand model and turn it into actionable medium and long term trade ideas for our Gas Trading desk.

Your analysis will directly inform our European gas strategies and drive commercial value across our trading franchise.

What We Offer

Full time role on a high impact Commercial team with committed, talented colleagues
Highly competitive compensation and equity participation, aligned with your contributions

Travel support for industry conferences and networking

True autonomy: build projects from the ground up and make independent decisions

Key Responsibilities

Own & Enhance Global LNG Model
Maintain our integrated global LNG balances, aligned with European gas systems
Monitor Benchmarks & Spreads
Track JKM, TTF, Henry Hub and regional spreads; translate movements into market views
Drive Data Pipeline & Dashboards
Lead enhancements to our Python/SQL pipelines and Tableau/Excel reporting tools

Generate Trade Ideas

Develop and present medium and long term LNG trading strategies to stakeholders

Desirable
Prior experience with Tableau dashboard development


Familiarity with Asian market dynamics (JKM, Chinese demand, fuel switching trends)
Exposure to advanced scripting or automation (e.g., Python libraries, API integration)

Desired Candidate Profile

Requirements

Must Have
3+ years of gas market analysis or similar energy sector role (trading house, consultancy, producer)
Bachelor s degree in Economics, Finance, Statistics or related field
Strong LNG value chain knowledge (liquefaction, shipping, regasification)
Advanced Excel modelling and intermediate Python & SQL skills
Excellent written and verbal communication: distill complex analysis into clear recommendations

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