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Commodities Quant Research Jobs (NOW HIRING)

Point72

Macro Quantitative Researcher

New York, NY · On-site

Perform rigorous and innovative research to develop systematic signals for global macro (futures ... Develop systematic trading models across global futures (equity indices, commodities and fixed ...

Point72

Macro Quantitative Researcher

New York, NY · On-site

Perform rigorous and innovative research to develop systematic signals for global macro (futures ... Develop systematic trading models across global futures (equity indices, commodities and fixed ...

Interactive Brokers

... of securities, commodities, foreign exchange, and prediction markets on over 170 markets in ... Collaborate with senior analysts on research projects * Create data visualizations and present ...

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Commodities Quant Research information

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$52.5K

$119.2K

$196.5K

How much do commodities quant research jobs pay per year?

As of Sep 11, 2026, the average yearly pay for commodities quant research in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is commodities quant research?

Commodities Quant Research involves using quantitative methods, such as statistical analysis, mathematical modeling, and computer algorithms, to analyze and forecast commodity markets. Professionals in this field develop trading strategies, manage risk, and optimize portfolios by leveraging large datasets and advanced analytics. Their work supports trading desks and investment teams in making informed decisions about commodities like oil, gas, metals, and agricultural products.

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

To thrive as a Commodities Quant Researcher, you need a strong background in quantitative analysis, statistics, and financial modeling, typically supported by an advanced degree in mathematics, finance, physics, or engineering. Expertise in programming languages like Python, R, or MATLAB, and familiarity with data analysis platforms and risk management systems are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you convey complex findings to both technical and non-technical stakeholders. These skills are crucial for developing robust trading strategies, accurately analyzing market trends, and driving data-driven decision-making in the fast-paced commodities market.

What are the typical challenges faced by professionals in commodities quant research, and how can they effectively address them?

Professionals in Commodities Quant Research often encounter challenges such as modeling market volatility, incorporating unpredictable geopolitical events, and managing large, complex datasets. Staying updated with the latest quantitative methods and technological advancements is essential to remain effective in this fast-paced environment. Collaborating closely with traders, risk managers, and data engineers helps in refining models and ensuring their practical applicability. Regularly backtesting strategies and adapting to new data sources can help address these challenges and drive better decision-making.

What are popular job titles related to Commodities Quant Research jobs?

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

Infographic showing various Commodities Quant Research job openings in the United States as of June 2026, with employment types broken down into 100% As Needed. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Researcher (Fixed Income)

Chicago, IL • On-site

Old Mission
1 - 10 employees
Learn more about Old Missionexternal

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

About the Position

Old Mission Capital, a global quantitative proprietary trading firm, is currently hiring a talented Quantitative Researcher to join our growing Fixed Income operation. The ideal candidate will have experience trading fixed income assets, corporate bonds, and other debt instruments. This Quantitative Researcher will be familiar with building and improving the firm's risk and pricing models, as well as understanding the risks in trading these assets.

Responsibilities

  • Perform exploratory data analysis on various market datasets, including bond data, exchange quote data, and third-party pricing data, generate trading signals and evaluate how they might be applied.
  • Research and develop quantitative models to forecast bonds and commodities' various metrics, including price, bid-ask spread, liquidity, etc, prototype predictive models, and perform regressions and other machine learning analysis to validate, backtest, and improve quantitative models.
  • Contribute to the development and continuous assessment of trade execution.

Required Skills

  • Qualified candidates will have an advanced degree in a quantitative field (preferably a Ph.D. in engineering, statistics, mathematics or a hard science).
  • Candidates need to have exceptionally high mathematical and programming skills (must be proficient in Python, VBA, or R).
  • Strong quantitative, analytical, research-oriented and problem-solving skills.
  • Superior communication, both written and verbal, and has the ability to handle multiple tasks in a time-sensitive, fast-paced, collaborative, collegial environment.
  • Successful candidates will have a passion for the financial markets and will have an entrepreneurial mindset as the team is growing and this individual will be a value-added contributor who will have an immediate impact.
  • Demonstrated experience in US corporate bonds is required.
  • Qualified candidates will have previous experience in TCA, execution quality assessment, and execution algorithms with a focus on US Credit.
  • Must have experience with credit pricing, credit curve models, and RFQ-based trading is desirable.
  • Must have experience with Bayesian filtering/Hidden Markov Models is desirable.
  • Intra-day credit curve modeling is a plus.

Benefits and Perks

  • Fully paid Medical, Dental, Vision, Disability, and LIfe Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Program 

Base Salary Range 
$175,000 - $250,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus 
and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter.

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