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Commodities Trading Analyst Jobs in Texas (NOW HIRING)

Veterans Sourcing Group

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Trade Control Specialist- Commodities

Houston, TX · On-site

$42.25/hr

Trade Control Analyst - Commodities Location: Houston, TX Pay Rate: $42.45/hr W2 Duration: 12 Months Start Date: ASAP - Within 2 Weeks of Acceptance Work Arrangement: Hybrid Training: Onsite 4 days ...

New

Adecco

Trade Control Analyst

Houston, TX · On-site

$33.64/hr

If Trade Control Analyst sounds like something you would be interested in, and you meet the ... This role is aligned closely with the Commodities Trading Desk and supports an expanding global ...

New

ExxonMobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$81K - $107K/yr

... trading organization, and rapidly building our analytical capabilities. We are looking for ... Experience in other commodities would also be beneficial. Your benefits An ExxonMobil career is one ...

ExxonMobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$81K - $107K/yr

... trading organization, and rapidly building our analytical capabilities. We are looking for ... Experience in other commodities would also be beneficial. Your benefits An ExxonMobil career is one ...

ExxonMobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$78K - $103K/yr

... trading organization, and rapidly building our analytical capabilities. We are looking for ... Experience in other commodities would also be beneficial. Your benefits An ExxonMobil career is one ...

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All JobsCommodities Trading Analyst JobsCommodities Trading Analyst Jobs in Texas

Commodities Trading Analyst information

See Texas salary details

$55K

$82.6K

$139.7K

How much do commodities trading analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for commodities trading analyst in Texas is $82,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $95,500.00 per year, depending on experience, location, and employer.

What does a commodities trading analyst do?

A Commodities Trading Analyst is responsible for researching and analyzing data related to physical commodities such as oil, gas, metals, and agricultural products. They monitor market trends, supply and demand factors, and economic indicators to provide insights and recommendations for trading strategies. Their work helps traders and companies make informed decisions on buying, selling, and managing risk in commodities markets. Additionally, they may use financial modeling, technical analysis, and fundamental analysis to forecast price movements and optimize trading performance.

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

To thrive as a Commodities Trading Analyst, you need strong analytical skills, quantitative abilities, and a solid understanding of financial markets, usually supported by a degree in finance, economics, or a related field. Expertise in data analysis tools such as Excel, Python, and Bloomberg Terminal, along with relevant certifications like CFA, is highly valuable. Attention to detail, problem-solving, and effective communication are critical soft skills for interpreting market trends and collaborating with stakeholders. These skills and qualities are essential to make informed trading decisions, manage risk, and drive profitability in a fast-paced and dynamic environment.

What are some common challenges faced by a commodities trading analyst, and how can they be addressed?

Commodities Trading Analysts often face challenges such as rapidly changing market conditions, complex data analysis, and the need to stay updated on global economic and geopolitical events. Managing risk and making quick, informed decisions under pressure are essential parts of the role. To address these challenges, analysts rely on strong analytical tools, continuous learning, and collaboration with traders, risk managers, and research teams to ensure accurate market insights and sound trading strategies.

What is the difference between Commodities Trading Analyst vs Commodities Trader?

AspectCommodities Trading AnalystCommodities Trader
Primary RoleAnalyzes market data, provides insights, supports trading strategiesExecutes trades, manages trading positions in real-time
Required SkillsMarket analysis, data interpretation, risk assessmentDecision-making, risk management, quick execution
Work EnvironmentOffice-based, research-focused, collaborativeTrading floors, fast-paced, high-pressure
Common CertificationsChartered Financial Analyst (CFA), relevant degreesSame as Analyst, plus trading licenses (e.g., Series 7)

While both roles involve understanding commodities markets, a Commodities Trading Analyst primarily conducts research and analysis to inform trading decisions, whereas a Commodities Trader actively executes trades and manages positions in real-time. Analysts support traders with insights, while traders focus on executing strategies to maximize profits.

What are popular job titles related to Commodities Trading Analyst jobs in Texas?

For Commodities Trading Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Commodities Trading Analyst jobs in Texas look for?

The top searched job categories for Commodities Trading Analyst jobs in Texas are:

Commodities Trading Analyst jobs near you
Infographic showing various Commodities Trading Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,564 per year, or $39.7 per hour.

Quant Analyst - Commodities (Oil)

Verition Group LLC

Houston, TX

Full-time

Re-posted 12 hours ago

Job description

Firm Overview

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.

Role Overview

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.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.

Apply