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Internship Commodity Trading Jobs (NOW HIRING)

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Internship Commodity Trading information

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$20K

$113.6K

$251K

How much do internship commodity trading jobs pay per year?

As of Sep 2, 2026, the average yearly pay for internship commodity trading in the United States is $113,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $149,500.00 per year, depending on experience, location, and employer.

What is an internship commodity trading?

An Internship in Commodity Trading provides hands-on experience in buying and selling raw materials like oil, metals, or agricultural products. Interns typically assist traders with market research, risk analysis, and trade execution support. They may also analyze price trends, monitor global economic events, and help optimize trading strategies. This role offers exposure to high-paced financial markets and the opportunity to develop skills in data analysis, decision-making, and communication.

What are the main responsibilities of an intern in commodity trading?

As an intern in commodity trading, you'll typically support the trading team by conducting market research, analyzing commodity price trends, and preparing reports for senior traders. Your daily tasks may include monitoring financial news, updating data in trading systems, and assisting with order execution under supervision. You'll work closely with experienced traders, analysts, and risk managers, gaining hands-on experience in a fast-paced, dynamic environment. This exposure provides valuable insight into how global markets operate and can lead to future opportunities in trading, analysis, or risk management within the industry.

What are the key skills and qualifications needed to thrive in internship commodity trading?

To excel in an Internship in Commodity Trading, candidates typically need strong analytical skills, proficiency in quantitative methods, and a foundation in finance, economics, or a related field. Familiarity with trading platforms, Microsoft Excel, and market data tools like Bloomberg Terminal is often expected, and coursework or certifications in finance can be advantageous. Excellent communication, attention to detail, and the ability to work effectively under pressure are vital soft skills in this environment. These competencies are important because they enable interns to contribute to fast-paced trading operations, analyze market trends, and make informed, timely decisions.

More about Internship Commodity Trading jobs

What cities are hiring for Internship Commodity Trading jobs?

Cities with the most Internship Commodity Trading job openings:

What are the most commonly searched types of Commodity Trading jobs?

The most popular types of Commodity Trading jobs are:

What states have the most Internship Commodity Trading jobs?

States with the most job openings for Internship Commodity Trading jobs include:

Infographic showing various Internship Commodity Trading job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $113,591 per year, or $54.6 per hour.

$122K - $146K/yr

Full-time

Re-posted 12 days ago


Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.