Job Title:

Contract Type:

Time Type:

Job Description:

Summary of Company

Gunvor Group is one of the world’s largest independent commodities trading houses by turnover, creating logistics solutions that safely and efficiently move physical energy from where it is sourced and stored to where it is demanded most. With strategic investments in energy infrastructure—shipping, refineries, pipelines, storage, and terminals, Gunvor further generates sustainable value across the global supply chain for its customers. In 2025, Gunvor Group generated US $144 billion in revenue on 253 million metric tons of turnover. The Group’s main trading offices are in Geneva, Singapore, Houston, Stamford, Calgary, Dubai, and London, with a network of more than 20 representative and other trading offices around the globe.

For more information, visit GunvorGroup.com

Overview of Role

• Operate and optimize cloud infrastructure (primarily Microsoft Azure).
• Implement CI/CD pipelines, containerization, and automated deployment strategies.
• Build and maintain data pipelines for market, weather, and operational datasets.
• Integrate external data sources into internal trading systems and databases.
• Assist in developing, back-testing, and deploying machine learning and quantitative models.
• Provide real-time technical support to traders and originators.
• Develop tools for trade capture, position management, and P&L reporting.
• Automate workflows to reduce operational risk.
• Document systems, processes, and model assumptions
• Perform other ad-hoc duties assigned by manager 

Profile

The individual should have the following experience:

• Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related field.
• Minimum 3 years’ of relevant experience in data engineering, trading systems, or financial technology.
• Proven experience designing or implementing trading execution algorithms, preferably in crypto or other electronic markets.
• Solid understanding of order book dynamics, liquidity, and market microstructure.

Skills

• Strong programming skills in Python, C#, or Java.
• Experience with Azure, Databricks, Spark, SQL, Kubernetes, Terraform, Ansible, ELK, React, .NET 8 and containerization.
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of commodities markets and trading workflows.
• Understanding of PPAs, hedges, structured deals, and risk metrics.
• Problem-solving skills and ability to work under time-sensitive conditions.

Additional Skills

• Prior trading desk or energy/commodities experience.
• Exposure to OIS discounting, structured deal valuation, and risk reserves.
• Strong grasp of numerical methods, statistics, and optimization techniques.
• Ability to bridge quantitative research and production systems.

If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.