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Summary of Company

Centalion is one of the world’s largest independent commodities trading houses by turnover, creating logistics solutions that safely and efficiently move physical energy, bulk materials, and base metals from where they are sourced and stored to where they are demanded most. With strategic investments in industrial infrastructure—upstream, terminals, refineries, power plants and storage – Centalion further generates sustainable value across the global supply chain for its customers. Centalion trades in more than 100 countries with main trading hubs in Geneva, Singapore and Houston, along with other trading offices in Calgary, Dubai, Stamford, London and Shanghai, supported by a network of more than 20 representative offices around the globe. In 2025, Centalion generated revenue of US$144 billion and traded 253 million MT of commodities. For more information: Centalion.com

Main Responsibilities

• Ensure risk and P&L is accurately reflected in the system and in line with trader expectations. This includes analysis of the key drivers of P&L and reconciliation against trader's estimates
• Ensure timely and accurate deal entry of trades
• Work closely with traders, quantitative and fundamental analysts to help deliver on other value adding tasks such as follows:
  • Design, implement, and maintain quantitative models and algorithms to analyse and forecast energy market trends, price movements, and supply-demand dynamics. These models will help the trading desk make informed and profitable trading decisions.
  • Innovate, identify and deliver on improvements in processes and systems
  • Integrate alternative data sources (e.g. freight tracking, social media sentiment) into models to enhance decision-making. Ensure data integrity and manage datasets efficiently using Python, times series databases or other tools
• Build and maintain dashboards and tools for real-time analytics and monitoring of key market indicators. Gather and analyse large datasets from various sources, both internal and external, and present findings in a clear and concise manner through data visualization tools
• Develop and implement trading strategies
• Perform other ad-hoc duties assigned by manager

Profile

The individual should have the following:

• Minimum Bachelor's degree with a major in Finance, Economics, Business Administration, Accountancy, Mathematics, Statistics or Computer Science
• Fluent in spoken and written English
• Strong Excel and Proficiency in Python is a must.  Good IT skills (SQL and MongoDB. C++ or C# would be a plus)
• Some knowledge of financial markets and financial derivatives
• Prior experience maintaining and enhancing algorithmic trading framework
• 2-3 years of previous similar work experience in trading/commodities house or financial institutions. Fresh graduates with above required skills will be considered.

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.