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6 days ago

Commodities Macro Analyst

Drw

London, Illinois, USA

📍 On-site

Category: Data & AnalyticsSubcategory: Research AnalystType: Full-time


DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for a highly motivated and dynamic Commodities Macro Analyst to join our team to support one of our PM's. You will be a key member of the Trading team and highly involved in the analytics and research to support decision making. Ideal for someone seeking a long term career that allows them to develop, grow and challenge themselves. 

Commodities Macro Analyst

Focus: Macro Volatility and Commodity Fundamentals

Ideal Candidate: Versatile, ambitious team player with strong analytical/technical skills, seeking a long-term career. Open to candidates outside of commodities who are keen to learn.

Key Responsibilities

Analysis & Research

  • Top-Down Macro: Analyze global macroeconomic cycles, central bank policy, interest rates, and inflation to identify volatility drivers.
  • Bottom-Up Fundamentals: Build and maintain supply/demand balance sheets and flow-of-funds models for core commodities
  • Credit/Micro: Conduct financial and credit health analysis of key producers and consumers (balance sheets, capex).

Development & Tool Building

  • Desk Infrastructure: Actively participate in the development, testing, and deployment of proprietary analytical tools, models, and dashboards.
  • Coding: Use Python to build and enhance tools for research, backtesting, and production reporting.
  • Data Management: Design and maintain data pipelines (including SQL) for clean, reliable data feeds.

Risk Support

  • Trade Support: Assist in generating, researching, and stress-testing trade ideas, executing trades
  • Risk Management: Perform daily portfolio risk monitoring, attribution, and P&L analysis.

Key Skills & Experience

  • Minimum 3 years of relevant work experience, ideally at a leading Proprietary Trading Firm, Hedge Fund, Investment Bank or Trading Venue.
  • Strong knowledge of financial products and active interest in the Commodities and Macro space.
  • Exceptional analytics and problem-solving skills.
  • Experience managing data and building tools in Python.
  • Excellent verbal, written and presentation skills.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Tags
Full-time
Mid-level

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DRW identifies and capitalizes on global trading and investment opportunities through a diversified strategy spanning multiple asset classes and markets, with timeframes from seconds to years. The firm combines the dynamism of a startup with the stability of an established company, emphasizing technology, research, and risk management. Its culture promotes continuous learning, high standards, curiosity, and collaboration among talented and dedicated professionals.

1,001 - 5,000 employees
Chicago, IL, Illinois, US
Privately Held
trading
research
technology
négociation
recherche
technologie