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Commodity Research Jobs (NOW HIRING)

Coley Company

Commodity Manager

Baltimore, MD · Remote

Commodity Manager - Global Sourcing Remote We're partnering with a global engineered materials ... Partner with Supply Chain, Manufacturing, Operations, and R&D teams globally. * Travel 30-40% to ...

Prysmian Group

Commodity Specialist

Highland Heights, KY · On-site

$108K/yr

Partner with Operations, R&D, and suppliers to identify alternative materials, value engineering ... Experience supporting commodity management, supplier development, or strategic sourcing initiatives.

SubCom

Commodity Manager (6755)

Newington, NH · On-site

Research and Intelligence Gathering : The Senior Commodity Manager engages in research and intelligence gathering at the industry, market, and company level and at the commodity level. Must ...

PrysmianGroup

Commodity Specialist

Highland Heights, KY · On-site

$108K/yr

Partner with Operations, R&D, and suppliers to identify alternative materials, value engineering ... Experience supporting commodity management, supplier development, or strategic sourcing initiatives.

PrysmianGroup

Commodity Specialist

Claremont, NC · On-site

$111K/yr

Partner with Operations, R&D, and suppliers to identify alternative materials, value engineering ... Experience supporting commodity management, supplier development, or strategic sourcing initiatives.

Tenneco

Snr Commodity Buyer

Northville, MI · On-site

Research materials and suppliers to develop an expertise related to the commodity supported. Prepare required documentation for supplier meetings or negotiations. Prepare presentations to management ...

Tenneco

Snr Commodity Buyer

Northville, MI · On-site

Research materials and suppliers to develop an expertise related to the commodity supported. Prepare required documentation for supplier meetings or negotiations. Prepare presentations to management ...

Moses Lake Industries

COMMODITY SPECIALIST

Moses Lake, WA · On-site

$118K/yr

Buyer, Commodity Analyst or Jr. Commodity/Category Manager or related work experience preferably in chemical supply chain in R&D and high-volume-manufacturing (HVM) environments. * Semi-conductor or ...

Flender

Commodity Manager

Elgin, IL · On-site

The Commodity Manager partners closely with Engineering, Operations, R&D, Product Management, and Finance to align procurement strategies with business objectives and drive value, innovation, and ...

Flender

Commodity Manager

Elgin, IL · On-site

The Commodity Manager partners closely with Engineering, Operations, R&D, Product Management, and Finance to align procurement strategies with business objectives and drive value, innovation, and ...

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Showing results 1-20

All JobsCommodity Research Jobs

Commodity Research information

See salary details

$34.5K

$114.5K

How much do commodity research jobs pay per year?

As of Aug 7, 2026, the average yearly pay for commodity research in the United States is $110,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $114,000.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by professionals in commodity research, and how can they be effectively managed?

Professionals in commodity research often encounter challenges such as rapidly fluctuating market conditions, the need to synthesize vast amounts of global data, and staying updated on geopolitical and environmental factors that impact supply and demand. To manage these challenges, it's important to develop strong analytical skills, leverage reliable data sources, and maintain open communication with trading, risk management, and strategy teams. Adapting quickly and continuously updating your knowledge of market trends are key to providing timely and actionable insights.

What is the difference between Commodity Research vs Commodity Trading?

AspectCommodity ResearchCommodity Trading
Primary FocusAnalyzing market data, supply/demand trends, and price forecastsBuying and selling commodities to generate profit
Required SkillsMarket analysis, research methods, data interpretationMarket timing, risk management, negotiation
Work EnvironmentResearch firms, financial institutions, commodity companiesTrading floors, brokerage firms, financial institutions
CertificationsOften no formal certifications, but financial analyst credentials helpCertifications like Series 7 or 63 may be required

Commodity Research involves analyzing market data and trends to forecast prices, while Commodity Trading focuses on executing buy and sell orders to profit from price movements. Both roles are integral to the commodities industry but differ in their core activities and skill sets.

What is commodity research?

Commodity research involves analyzing and studying the markets for raw materials such as oil, metals, agricultural products, and other physical goods. Professionals in commodity research evaluate supply and demand trends, price movements, geopolitical events, and economic indicators that affect commodity prices. Their insights help guide investment strategies, risk management, and trading decisions for businesses, investors, and other stakeholders in the commodity markets.

What are the key skills and qualifications needed to thrive as a commodity research analyst?

To thrive as a Commodity Research Analyst, you need strong analytical abilities, market knowledge, and a background in finance, economics, or a related field, often supported by a relevant degree. Familiarity with data analysis tools like Excel, Bloomberg Terminal, and statistical software, as well as certifications such as CFA or FRM, is highly valuable. Exceptional communication, attention to detail, and the ability to work under pressure set standout professionals apart in this role. These skills are vital for producing accurate market insights, supporting investment decisions, and maintaining a competitive edge in the fast-moving commodities sector.
More about Commodity Research jobs
What cities are hiring for Commodity Research jobs? Cities with the most Commodity Research job openings:
What states have the most Commodity Research jobs? States with the most job openings for Commodity Research jobs include:
What job categories do people searching Commodity Research jobs look for? The top searched job categories for Commodity Research jobs are:
Commodity Research jobs near you
Infographic showing various Commodity Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,258 per year, or $53 per hour.

Team Lead, Product Management - Quantitative Data Solutions

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 242 rated software companies

Job description

Team Lead, Product Management - Quantitative Data Solutions
Location
New York
Business Area
Product
Ref #
10053030
Description & Requirements
Macro and Commodity Research Data
Bloomberg is building a comprehensive suite of normalized, linked and point-in-time datasets for quantitative, systematic and quantamental investment research. The portfolio brings together company fundamentals, estimates, pricing, supply-chain relationships, industry and segment-level data, macroeconomic indicators, commodity supply and demand data, and alternative data through interoperable products designed for research and production workflows.
We are establishing a new Macro and Commodity Research Data vertical and are looking for an experienced Product Manager Team Lead to define its strategy, build its product portfolio and lead its development.
This role requires a strong understanding of macroeconomic and commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio decisions and risk views. The successful candidate will also understand how AI, agentic research tools and modern data infrastructure are changing the way clients discover, evaluate and consume financial data.
You will be responsible for shaping a differentiated portfolio spanning areas such as economic releases and surveys, government auctions, commodity supply, demand and inventories, physical flows, positioning, weather, outages and other market-relevant datasets. You will determine where Bloomberg can create distinctive client value, how the products should work together, and how the business can convert that value into sustainable commercial growth.
The Research Data business is an important part of Bloomberg Enterprise Data's growth strategy. Our objective is to solve complex research and data-management problems for quantitative, systematic and fundamental investment teams, while making Bloomberg data easier to discover, evaluate, integrate and use across client workflows.
We will trust you to
  • Define the strategy, positioning and multi-year roadmap for the Macro and Commodity Research Data vertical, translating market developments and client needs into clear product priorities.
  • Lead and develop a team of product managers and subject-matter experts, establishing clear responsibilities, decision processes, objectives and measures of success.
  • Build deep domain expertise across systematic macro, commodities and multi-asset research, including how clients combine economic, physical-market, pricing, positioning and alternative datasets to generate signals and manage risk.
  • Develop a strong understanding of the commercial opportunity for the vertical, including addressable markets, client segments, competitive positioning, packaging, pricing and monetisation models.
  • Own the business case for product investment by assessing client value, revenue potential, development cost, strategic differentiation and opportunity cost.
  • Engage senior clients, researchers, portfolio managers, data scientists and data engineering teams to identify unmet needs, test product concepts and validate priorities.
  • Translate client workflows into well-defined data products, including requirements for point-in-time integrity, historical depth, metadata, identifiers, lineage, accessibility, interoperability and production use.
  • Set measurable product and commercial outcomes, monitor adoption and revenue performance, and adjust the roadmap based on evidence rather than activity alone.
  • Manage product specification, prioritisation and delivery across data, engineering, sales, implementation, support and other Bloomberg teams.
  • Ensure that individual products form a coherent portfolio, with common design standards and clear connections across macro, commodities, pricing, reference data and related Bloomberg content.
  • Represent the vertical internally and externally, helping sales teams explain its value and building credibility with sophisticated quantitative and institutional clients.
  • Stay current on developments in financial markets, systematic investment research, data science, AI-enabled workflows and the competitive data landscape.

You will need to have
  • Significant experience in product management, investment research, quantitative research, financial data or a related field, with evidence of increasing commercial and leadership responsibility.
  • Strong knowledge of macroeconomic or commodity markets, preferably including experience with several of the following: economic data, rates, foreign exchange, futures, energy, metals, agriculture, physical commodity markets or alternative data.
  • A practical understanding of quantitative and systematic investment workflows, from data discovery and hypothesis formation through signal development, backtesting, portfolio construction and production use.
  • Experience defining product strategy, evaluating market opportunities and making commercial trade-offs across pricing, packaging, investment and portfolio priorities.
  • Evidence of building, managing or developing high-performing teams.
  • Strong client-facing skills and the ability to convert complex or ambiguous client problems into clear product and business decisions.
  • The ability to influence across a matrixed organisation and coordinate delivery among product, data, engineering, sales, implementation and support teams.
  • Strong analytical and problem-solving skills, including the ability to use evidence and commercial reasoning to secure investment and management support.
  • Familiarity with modern data platforms, APIs, cloud delivery and the ways clients use Python, R or similar tools in research and data-engineering workflows.
  • A bachelor's degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline.

Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should be technically credible, able to interrogate data and comfortable working with engineers, data scientists and quantitative clients.
We use years of experience as a guide and will consider candidates who can demonstrate the leadership, domain expertise, product judgement and commercial capabilities required for the role.
Salary Range = 235,000 - 350,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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