Desk Developer

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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

Embedded within the APAC Power & Origination trading desk, responsible for building, optimizing, and maintaining technical infrastructure that supports real-time trading, risk management, and analytics. Works closely with traders, quants, and risk to deliver scalable solutions that enhance decision-making and efficiency.

Main Responsibilities

• Implement CI/CD pipelines, containerization, and automated deployment strategies.
• Develop tools for trade capture, position management, and P&L reporting.
• Build and maintain data pipelines for market, weather, and operational datasets.
• Assist in developing, back-testing, and deploying machine learning and quantitative models.
• Integrate external data sources into internal trading systems and databases.
• Provide real-time technical support to traders and originators.
• Operate and optimize cloud infrastructure (primarily Microsoft Azure) partnering with IT teams
• 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.

• Preferably proven experience designing trading execution back testing platforms such as in commodities or other electronic markets.

Skills

• Strong programming skills in Python (required), C++
• Experience with Azure, Databricks, Spark, SQL, Kubernetes, React and containerization.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, and scikit-learn would be an advantage.
• Preferably knowledge of commodities markets and trading workflows
• Problem-solving skills and ability to work under time-sensitive conditions.
• 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.