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Commodities Quant Jobs in Texas (NOW HIRING)

Daikin

Commodity Manager

Waller, TX

The Commodity Manager oversees commodities for direct material in support of HVAC market operations ... Strong analytical and quantitative abilities  * Develops and balances both short and long term ...

Daikin

Commodity Manager

Waller, TX

The Commodity Manager oversees commodities for direct material in support of HVAC market operations ... Strong analytical and quantitative abilities  * Develops and balances both short and long term ...

Citigroup, Inc.

Power Scheduler

Houston, TX · On-site

$125K - $188K/yr

Support the Commodities business and oversee various commodities and identify potential physical ... Effective and efficient quantitative skills and advanced problem solving skills * Consistently ...

Citigroup, Inc.

Gas Scheduler

Houston, TX · On-site

$125K - $188K/yr

Support the Commodities business and oversee various commodities and identify potential physical ... Effective and efficient quantitative skills and advanced problem solving skills * Consistently ...

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Commodities Quant information

What is a commodities quant?

Commodities Quants are quantitative analysts who specialize in the commodities markets, such as energy, metals, and agricultural products. They use mathematical models, statistical techniques, and programming skills to analyze market trends, price movements, and risk factors specific to these physical goods. Their work supports trading, risk management, and investment strategies in commodity-focused financial institutions or trading firms. Commodities Quants play a key role in pricing derivatives, optimizing portfolios, and developing trading algorithms tailored to the unique characteristics of commodity markets.

How does a commodities quant typically collaborate with traders and risk managers in their daily work?

Commodities Quants frequently work closely with traders and risk managers to develop and refine pricing models, analyze market trends, and implement trading strategies. They may spend part of their day discussing market scenarios with traders, running quantitative analyses, or optimizing risk metrics for the desk. This collaborative environment ensures that quantitative insights are directly aligned with trading objectives and risk guidelines, allowing for rapid feedback and iterative improvements to models or strategies. Effective communication and teamwork are essential, as the ability to translate complex quantitative findings into actionable insights often determines the impact of a Quant's work.

What are the key skills and qualifications needed to thrive as a commodities quant, and why are they important?

To thrive as a Commodities Quant, you need advanced quantitative skills, a strong foundation in mathematics or finance, and typically a degree in a quantitative field such as physics, engineering, or statistics. Expertise in programming languages like Python, C++, or R, and experience with statistical modeling software and market data systems are crucial. Analytical thinking, attention to detail, and effective communication help you interpret complex data and convey insights to multidisciplinary teams. These skills enable accurate pricing, risk management, and strategy development in the fast-paced, data-driven commodities markets.

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

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

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

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

What cities in Texas are hiring for Commodities Quant jobs?

Cities in Texas with the most Commodities Quant job openings:

Commodities Quant jobs near you
Infographic showing various Commodities Quant job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 2% Contract, and 3% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX • On-site

Full-time

Posted 29 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

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 Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply