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Emplois technical engineer (Meyrin, GE)

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Job Post Details

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Oil Analyst - job post

LHH
3.7/5 étoiles
Genève, GE
CDI, 100%, Temps de travail : 90-100%
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Détails de l'emploi

Type de poste

  • Temps de travail : 90-100%
  • CDI
  • 100%

Lieu

Genève, GE

Description du poste

Commodity Trading

As an Oil Analyst, you will play a central role in driving the firm's market views, trade ideas, and risk strategies across the crude oil and refined products complex. This is a front-office, research-intensive role requiring both deep market knowledge and technical sophistication. You will collaborate closely with traders, data engineers, and portfolio managers to identify inefficiencies and model market dynamics.


  • Develop and maintain analytical models of global crude oil and refined product supply/demand balances.
  • Track and interpret key market indicators such as inventories, refinery runs, shipping flows, and macroeconomic trends.
  • Leverage coding and data science to automate data ingestion, build dashboards, and enhance signal generation.
  • Produce short- and long-term price forecasts and scenario analyses to inform trading strategies.
  • Integrate alternative data (e.g., satellite, AIS, refinery data) into models to gain a market edge.
  • Communicate insights clearly to traders and PMs, contributing to trade idea generation and risk management.


  • 3+ years minimum of experience in oil market analysis
  • Strong understanding of global oil market fundamentals and price drivers.
  • Proficiency in Python or another relevant programming language (e.g., R, SQL); experience with data visualization tools is a plus.
  • Experience working with large datasets and APIs; comfort with automation and data pipelines.
  • Strong quantitative and problem-solving skills.
  • Self-motivated, detail-oriented, and able to thrive in a fast-paced trading environment.
  • Background in physics, engineering, finance, or applied mathematics.
  • Experience working in a hedge fund, commodity trading house, or energy major.
  • Exposure to machine learning techniques and/or statistical modeling.
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