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Internship Weather Commodities Trader Jobs (NOW HIRING)

Five years of relevant experience, including internships, thesis work, or professional experience in commodities, trading, risk, analytics, or commercial roles. * High integrity, resilience ...

Experience A minimum of five years of related experience in commodities, energy, agriculture ... Subject to varying weather and road conditions. Occasional visits to refinery or industrial ...

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Internship Weather Commodities Trader information

What types of projects and responsibilities can I expect during an internship as a weather commodities trader?

As an intern in weather commodities trading, you can expect to support the trading team by conducting market research, analyzing weather data, and preparing reports on how weather patterns impact commodity prices. You may assist with monitoring real-time market movements, updating trading models, and participating in risk assessment discussions. Collaboration is common with meteorologists, analysts, and more experienced traders, providing a hands-on learning environment. Many interns also contribute to presentations and help improve trading strategies, all while gaining exposure to fast-paced decision-making and risk management practices.

What does an internship weather commodities trader do?

An Internship Weather Commodities Trader assists in analyzing how weather patterns can impact the prices of commodities like energy, agriculture, and metals. Interns help gather and interpret meteorological data, monitor market trends, and support the trading team in making informed decisions. They may also help prepare reports, run simulations, and use financial models to predict possible outcomes. This role provides hands-on experience in both weather analysis and commodity markets, offering valuable insight into how external factors affect trading strategies.

What is the difference between Internship Weather Commodities Trader vs Weather Analyst?

AspectInternship Weather Commodities TraderWeather Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldsDegree in meteorology, atmospheric science, or related disciplines
Work EnvironmentFinancial firms, trading floors, or commodity marketsResearch institutions, media outlets, or government agencies
Industry UsageFocuses on trading weather-related commodities and risk managementProvides weather forecasts and analysis for various sectors

While both roles involve weather data, an Internship Weather Commodities Trader focuses on trading and financial risk management related to weather, whereas a Weather Analyst provides weather forecasts and scientific analysis. The former is more finance-oriented, and the latter is science-oriented, though both require strong analytical skills.

What are the key skills and qualifications needed to thrive as an internship weather commodities trader, and why are they important?

To thrive as an Internship Weather Commodities Trader, you need a solid foundation in finance, economics, and meteorology, often supported by coursework or a degree in these areas. Familiarity with trading platforms, data analysis tools (such as Excel, Python, or R), and an understanding of weather modeling systems is typically expected. Strong analytical thinking, attention to detail, and effective communication skills set candidates apart in this role. These abilities are crucial for interpreting complex weather data, making informed trading decisions, and communicating insights in a fast-paced market environment.
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Infographic showing various Internship Weather Commodities Trader job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Posted 19 days ago


Job description

Application Deadline: September 1st at 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 analytics 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 Front Office Software Engineering Interns to join our Global Data Science & Technology team in our Stamford, CT office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands-on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.

Responsibilities:

  • Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization.
  • Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows.
  • Build and enhance Python-based microservices and APIs for internal data access and operations automation.
  • Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
  • Participate in cloud-native application development using AWS services, including Kubernetes and Kafka.
  • Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
  • Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows.

Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Familiarity with version control tools (e.g., Git) and software development best practices.
  • Strong problem-solving abilities and an eagerness to learn about financial markets and trading systems.
  • Excellent communication skills and ability to work in a fast-paced, collaborative environment.Top of Form