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Commodities Hedge Fund Jobs (NOW HIRING)

Analyze hedge fund exposures across global macro asset classes, including equity indices, interest rates, credit, FX, and commodities. * Review and validate exposures from common macro instruments ...

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Commodities Hedge Fund information

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$11K

$77.9K

$122K

How much do commodities hedge fund jobs pay per year?

As of Jul 3, 2026, the average yearly pay for commodities hedge fund in the United States is $77,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working at a commodities hedge fund?

Professionals at commodities hedge funds often face the challenge of navigating highly volatile markets influenced by global events, weather patterns, and geopolitical shifts. Staying updated on market trends and managing risk exposure is crucial, as price swings can be sudden and significant. Additionally, the role typically requires close collaboration with analysts, traders, and risk managers to develop and execute complex trading strategies. Adapting to fast-paced environments and making data-driven decisions under pressure are key aspects of the job.

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

To thrive as a Commodities Hedge Fund Analyst, you need strong quantitative analysis skills, a solid understanding of financial markets, and typically a degree in finance, economics, or a related field. Proficiency with financial modeling tools, programming languages like Python or R, and platforms such as Bloomberg Terminal is highly valued. Exceptional critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These capabilities enable analysts to make informed investment decisions, manage risk effectively, and contribute to fund profitability in a dynamic market environment.

What is a commodities hedge fund?

A commodities hedge fund is an investment fund that primarily trades in physical commodities (like oil, gold, or agricultural products) and commodity derivatives to generate returns for its investors. These funds use various trading strategies, including long and short positions, leveraging, and derivatives, to profit from price movements in commodities markets. Commodities hedge funds are typically managed by experienced professionals and are open to accredited or institutional investors. They aim to provide portfolio diversification and potential risk-adjusted returns, but they can also carry significant risks due to market volatility.

What is the difference between Commodities Hedge Fund vs Commodities Trader?

AspectCommodities Hedge FundCommodities Trader
CredentialsAdvanced degrees, finance certifications (CFA)Relevant finance or trading experience, certifications optional
Work EnvironmentResearch-focused, team-based, office settingFast-paced, trading floors, direct market interaction
Employer & IndustryAsset management firms, hedge fundsCommodity firms, trading houses, banks
Primary FocusManaging investment strategies, risk, and portfolioExecuting trades, market analysis, profit generation

While both roles involve commodities, a Commodities Hedge Fund manages investment portfolios and strategies within a fund structure, focusing on risk management and long-term returns. A Commodities Trader actively executes trades in the market, aiming for immediate profits. The hedge fund role is more analytical and strategic, whereas the trader role is more operational and market-facing.

More about Commodities Hedge Fund jobs
What states have the most Commodities Hedge Fund jobs? States with the most job openings for Commodities Hedge Fund jobs include:
Infographic showing various Commodities Hedge Fund job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $77,940 per year, or $37.5 per hour.

Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund

Moreton Capital Partners

New York, NY โ€ข On-site

Full-time

Medical, Life, PTO

Posted 12 days ago

Be an early applicant


Job description

Immediate Start - Quant Researcher โ€“ Systematic Commodities Hedge Fund

Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team.

This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets.

We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless.

Key Responsibilities
  • Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.
  • Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.
  • Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).
  • Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.
  • Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.
  • Collaborate with developers to transition research into production-ready strategies.
  • Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.

Requirements

  • Masters or PhD in either Statistics, Economics, Computer Science.
  • Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).
  • Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).
  • Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.
  • Academic experience in research and proven ability to translate academic work to production code.
  • Prior exposure to systematic trading or financial modelling.
  • Ability to design experiments, interpret results, and iterate quickly in a research environment.

Bonus points for:

  • Knowledge of commodities (agriculture, energy, metals) or macro markets.
  • Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite).
  • Experience collaborating in version control environments.
  • Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.
  • Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.

Benefits

  • Direct impact: Your alphas will go live into production portfolios, with real capital behind them.
  • Research-first culture: We value deep thinking, novel approaches, and systematic rigor.
  • Close collaboration across a global team.
  • Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.
  • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.
  • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off.
  • Positive, inclusive and encouraging work environment.