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Commodity Quantitative Researcher Jobs (NOW HIRING)

This role is designed for a candidate who combines cross-commodity quantitative rigor in their ... Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ...

This role is designed for a candidate who combines cross-commodity quantitative rigor in their ... Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ...

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Commodity Quantitative Researcher information

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$81.5K

$100.1K

$128K

How much do commodity quantitative researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for commodity quantitative researcher in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a commodity quantitative researcher?

A Commodity Quantitative Researcher is a professional who uses mathematical models, statistical techniques, and data analysis to study and predict price movements and trends in commodity markets such as oil, gas, metals, or agricultural products. They analyze large sets of data to identify market patterns and develop trading strategies for investment firms, hedge funds, or trading companies. Their work helps organizations make informed decisions about buying, selling, or holding commodities, often leveraging advanced programming and quantitative skills.

What are the key skills and qualifications needed to thrive as a commodity quantitative researcher?

To thrive as a Commodity Quantitative Researcher, you need a strong background in mathematics, statistics, programming, and financial markets, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages like Python or R, data analysis platforms, and familiarity with trading systems or quantitative modeling tools is essential. Analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights into actionable strategies. These skills are crucial for developing robust quantitative models that drive informed trading decisions and maximize profitability in dynamic commodity markets.

How does a commodity quantitative researcher typically collaborate with trading and risk management teams?

Commodity Quantitative Researchers work closely with both trading and risk management teams to develop, test, and implement quantitative models for pricing, forecasting, and risk assessment. They often translate complex market data and statistical insights into actionable strategies, ensuring traders can make informed decisions. Regular communication and feedback loops are essential, as researchers must adjust models based on real-world trading outcomes and evolving market conditions. This collaborative environment fosters continuous learning and innovation, allowing researchers to directly see the impact of their work and to develop a deep understanding of market dynamics.

What is the difference between Commodity Quantitative Researcher vs Commodity Trader?

AspectCommodity Quantitative ResearcherCommodity Trader
Primary RoleDevelops models and algorithms to analyze commodity markets and inform investment strategiesExecutes buy and sell decisions in commodity markets based on market analysis and trading strategies
Skills & CredentialsStrong quantitative skills, programming, finance knowledge, often with advanced degreesMarket knowledge, risk management, trading experience, often with finance or economics background
Work EnvironmentResearch teams, quantitative departments, financial institutionsTrading floors, financial firms, hedge funds
FocusModel development and analysisMarket execution and profit generation

While both roles operate within the commodity industry, a Commodity Quantitative Researcher focuses on developing analytical models to understand market behavior, whereas a Commodity Trader executes trades based on market insights. The researcher emphasizes quantitative analysis and model building, while the trader emphasizes market execution and risk management.

What are popular job titles related to Commodity Quantitative Researcher jobs?

For Commodity Quantitative Researcher jobs, the most frequently searched job titles are:

Infographic showing various Commodity Quantitative Researcher job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Quantitative Strategist, Risk Modeling & Research

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

About the Role

THE POSITION
Wellington Management is seeking a multi-asset empirical risk modeling specialist to join the Risk and analytics Research team within Wellington Investment Risk. The team develops quantitative models on risk modeling and investment analytics, partners closely with investors and risk professionals to integrate them into investment decision-making, and works with technology teams to deliver robust, scalable enterprise capabilities.
The Quantitative Strategist will lead modeling efforts for Wellington's proprietary multi-asset risk model covering equity, fixed income, fx, commodity and derivative instruments, conduct empirical research on asset return dynamics, risk premia, factor exposures, and cross-asset risk relationships, and serve as a subject matter expert on risk modeling and measurement for Investment Risk, investors and the product management team. The Strategist will partner directly with risk professionals and investors to ensure quantitative models are appropriately applied in portfolio construction and risk management. This is a high impact, high leverage role within a strong team with a broad and critical set of responsibilities. Areas of focus may include sector specific security return dynamics, measurement of idiosyncratic risk, risk model improvements like shrinkage algorithm, risk premia on implied volatility adjustments etc.
Success in this role requires the ability to conduct rigorous quantitative research, strong knowledge of statistical modeling on empirical financial market data, the ability to partner with technology teams to build production infrastructure process for risk model building, implementation, invocation, and an appetite for collaborating with risk managers and investors to integrate quantitative models into their investment process.
The candidate should be able to work independently and within a team environment. Good communication skills are critical as the successful candidate will individually manage projects and will also interact closely with risk and investment teams, product management and business professionals.
QUALIFICATIONS
The ideal candidate will combine a strong quantitative background with an understanding of finance and economics. Additional key qualifications include:
Advanced degree in finance, econometrics, quantitative field (math, statistics, physics, electrical engineering, operations research)
Strong understanding of factor-based risk model framework
5-15 years' experience with empirical risk modeling on fixed income, equity, fx and derivatives
Strong technical background in model development, statistical analysis, and prototyping. Experience with Python, Java, SQL, and/or C++.
Experience with MSCI/Barra Equity models is a plus
Experience with Fixed income valuation models is a plus


LOCATION
The Quantitative Strategist will ideally be based in Wellington's Global Headquarters in Boston, MA. Alternative location may be considered for exceptional candidates.

JOB TITLE

Quantitative Strategist, Risk Modeling & Research

JOB FAMILY

Investment Management (IM)

LOCATION

280 Congress

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management considers all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:

USD 120,000 - 225,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.

Base salaryis only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence,paid holidays, volunteer, sick and vacation time).

We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.