ZipRecruiter

Log In

1

Python Commodities Jobs (NOW HIRING)

DV Trading

Graduate Trader (DV Commodities)

New York, NY · On-site

$85K - $100K/yr

DV Commodities is a division within DV Group that specializes in trading commodities markets ... Proficiency in SQL, Python, and statistical modeling is preferred * A strong work ethic and ability ...

Quanta Search

Senior Software Engineer (Python)

Houston, TX · On-site

$117K - $154K/yr

They trade in various asset types, such as Fixed Income, Equities, ETFs, Commodities, and FX. As a ... In Python-oriented environment, you'll refine processes and deliver scalable solutions. Role ...

Quanta Search

Senior Software Engineer (Python)

Houston, TX · On-site

$117K - $154K/yr

They trade in various asset types, such as Fixed Income, Equities, ETFs, Commodities, and FX. As a ... In Python-oriented environment, you'll refine processes and deliver scalable solutions. Role ...

DRW

Python Software Engineer, Trading Platform

New York, NY · On-site

$150K - $180K/yr

... Commodities and Energy across all major global markets. We have also leveraged our expertise and ... In-depth knowledge of Python and keeps up with current standards (3.11 onwards) * Up-to-date ...

next page

Showing results 1-20

All JobsPython Commodities Jobs

Python Commodities information

See salary details

$13

$58

$86

How much do python commodities jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for python commodities in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Python Commodities vs Python Data Analyst?

AspectPython CommoditiesPython Data Analyst
Required CredentialsPython programming skills, basic data handling knowledgePython skills, data analysis certifications, SQL knowledge
Work EnvironmentTrading firms, commodities markets, financial institutionsBusiness, finance, marketing departments, consulting firms
Employer & Industry UsageFinance, commodities trading, risk managementBusiness intelligence, market research, reporting
Search & Comparison IntentUnderstanding roles in commodities trading using PythonAnalyzing data with Python for business insights

Python Commodities professionals focus on using Python to analyze and trade commodities in financial markets, often working in trading firms or financial institutions. Python Data Analysts utilize Python for data analysis, reporting, and business insights across various industries. While both roles require Python skills, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Python Commodities Analyst, and why are they important?

To excel as a Python Commodities Analyst, you generally need a strong background in quantitative analysis, financial markets knowledge, and proficiency in Python programming, often supported by a degree in finance, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and sometimes certifications like CFA or FRM are highly valued. Analytical thinking, problem-solving, and effective communication are important soft skills that set top performers apart. These skills and qualifications are crucial for interpreting complex market data, developing trading models, and making informed decisions in the fast-paced commodities sector.

What are Python Commodities professionals?

Python Commodities professionals are specialists who use the Python programming language to analyze, model, and automate tasks related to commodities trading and risk management. They often work with data related to commodities such as oil, gas, metals, or agricultural products, developing algorithms for pricing, forecasting, and optimizing trading strategies. Their expertise bridges both finance and technology, allowing them to build tools for data analysis, automate trading operations, and improve decision-making in the commodities markets.

How does a Python Commodities professional typically collaborate with trading and analytics teams?

Python Commodities professionals often work closely with traders, analysts, and risk managers to develop and maintain tools for pricing, risk assessment, and data analysis. On a daily basis, they may translate trading strategies into automated algorithms, streamline data pipelines, and ensure models are efficiently integrated into the trading workflow. Effective communication and understanding of both technical concepts and market dynamics are crucial, as the role frequently involves gathering requirements from non-technical stakeholders and delivering practical, scalable solutions. This collaborative environment fosters skill growth and offers exposure to both technology and commodities markets, opening paths for advancement in quantitative research or trading technology leadership.
Infographic showing various Python Commodities job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Quant Strat/Trader for HFT Cash/Futures/Commodities

Quanta Search

Manhattan, NY

Other

Posted 18 days ago

Job description

Location: New York (Midtown) office.
Role:Quantitative strategist.
Team:Quantitative Strategies Trading
Key Responsibilities:Designing, developing and managing profitable systematic trading strategies in US Cash and Futures FI, FX, Equity and Commodities markets. The candidate is expected to perform her/his own trading strategy design and research. As such, the role requires high level development in C++ and Python. We expect the candidate to collaborate with the team's technology and trading experts for production implementation.
The team is particularly interested in candidates with expertise in the following:
  • Fundamental data / economic event driven strategies
  • Commodities systematic strategies (Energy, Metals, Agricultural)
  • Cash FX systematic strategies
  • Liquidity taking strategies
This is an opportunity to work as a member of a small group of talented individuals that develop cutting edge algorithmic trading strategies (intraday and overnight) on a wide range of asset classes (Fixed Income, FX, Equities, Commodities). The strategist will have the opportunity to deploy its trading strategy with limited infrastructure build time by leveraging an existing successful technology and research platform.
  • Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science
  • Seniority: minimum of 3 years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.).
  • Skills:
    • Significant experience with alpha generation and portfolio management.
    • Ability to deploy and manage a trading strategy from inception.
    • Strong programming skills (C++ and Python preferred)
    • Working knowledge of Linux and code repository management preferred.
    • Self-motivated, hard-working and creative personality
    • Clear and confident communication skills.
Solid compensation package is offered to the right candidate.

Apply