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Commodities Trader Jobs (NOW HIRING)

You are excited about the challenges of a cutting-edge energy and commodities trading business. You find satisfaction working for an energy trading company intensely focused on searching for and ...

What You'll Be DoingChartering Support the Bunge Latin America commodities traders with Ocean Freight backing for spot and forward business. Maintain the profitability and effectiveness of vessels ...

What You'll Be Doing Chartering Support the Bunge Latin America commodities traders with Ocean Freight backing for spot and forward business. Maintain the profitability and effectiveness of vessels ...

What You'll Be Doing Chartering โ€ข Support the Bunge Latin America commodities traders with Ocean Freight backing for spot and forward business. โ€ข Maintain the profitability and effectiveness of ...

What You'll Be Doing Chartering โ€ข Support the Bunge Latin America commodities traders with Ocean Freight backing for spot and forward business. โ€ข Maintain the profitability and effectiveness of ...

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Commodities Trader information

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$49.5K

$65K

$79K

How much do commodities trader jobs pay per year?

As of Aug 6, 2026, the average yearly pay for commodities trader in the United States is $64,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a commodities trader?

Commodities traders are professionals who buy and sell physical goods such as oil, metals, agricultural products, and other raw materials on behalf of clients or for their own accounts. They analyze market trends, negotiate contracts, and manage risk to maximize profits. Commodities traders may work on trading floors, for investment banks, hedge funds, or commodity-specific firms. Their work is vital for ensuring the efficient distribution and pricing of essential goods across global markets.

What are some common challenges commodities traders face in managing market volatility?

Commodities traders frequently deal with significant market volatility due to factors such as supply chain disruptions, geopolitical events, and weather patterns. Managing this volatility requires strong analytical skills, quick decision-making, and the ability to use risk management tools like futures, options, and hedging strategies. Traders must also stay updated on global economic trends and maintain effective communication with analysts, brokers, and other team members to make informed trading decisions. Successfully navigating these challenges can lead to career advancement and recognition within the trading team.

What are the key skills and qualifications needed to thrive as a commodities trader?

To thrive as a Commodities Trader, you need strong analytical skills, a solid understanding of financial markets, and typically a degree in finance, economics, or a related field. Familiarity with trading platforms, risk management systems, and relevant certifications such as Series 3 or Chartered Financial Analyst (CFA) can be highly beneficial. Excellent decision-making, stress management, and communication skills set top performers apart in a highly volatile and fast-paced environment. These competencies are crucial for making informed trades, managing risks, and building strong client relationships in a dynamic market.
More about Commodities Trader jobs
What cities are hiring for Commodities Trader jobs? Cities with the most Commodities Trader job openings:
What states have the most Commodities Trader jobs? States with the most job openings for Commodities Trader jobs include:
What job categories do people searching Commodities Trader jobs look for? The top searched job categories for Commodities Trader jobs are:
Infographic showing various Commodities Trader job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $64,999 per year, or $31.2 per hour.

Quant Analyst - Commodities (Oil)

Verition Group LLC

Houston, TX โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a quantitative researcher to join a world class commodities trading team. This role is focused on building and enhancing data, analytics, and quantitative tools that support discretionary trading decisions. The ideal candidate combines strong coding and statistical foundations with practical experience applying machine learning and early-stage AI techniques to real-world problems. Prior exposure to crude oil markets is strongly preferred.
Responsibilities:
  • Develop and maintain Python-based research, analytics, and data pipelines to support trading and market analysis.
  • Design and manage databases and structured data workflows, including SQL-based querying and cloud-hosted data solutions.
  • Build dashboards and interactive tools (e.g., Streamlit) to visualize market data, signals, and risk metrics for the trading desk.
  • Apply statistical techniques and machine learning methods to analyze historical and real-time market data.
  • Contribute to the development and refinement of quantitative signals and core strategies used in commodities trading.
  • Explore and implement practical AI applications, including NLP and neural network-based approaches, where relevant to the trading process.
  • Work closely with the trader to prioritize projects, translate trading intuition into quantitative frameworks, and iterate quickly.

Qualifications:
  • Python (minimum 3+ years of professional experience; required) for data analysis.
  • Prior experience in commodities markets, particularly oil, is strongly preferred.
  • Git / version control (required).
  • Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts).
  • Machine learning fundamentals and common tools (e.g., SVMs, model evaluation best practices).
  • SQL and relational databases (e.g., Snowflake).
  • Dashboarding and data visualization (ideally Streamlit).
  • Cloud platforms (AWS, Azure, or similar).
  • Experience working with large, noisy, real-world datasets.
  • Strong conceptual understanding of NLP and neural networks.
  • Motivated to build tools and research that directly impact P&L.