Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Exxon Mobil Corporation is seeking a highly motivated quantitative analyst to join the Global Trading Analytics team. You will develop models, calibrate analytics, and build decision-support tools to optimize trading, risk management, and commercial decisions across energy markets.
Collaborate with quants, traders, technologists and risk professionals to deliver scalable quantitative solutions in a fast-paced environment.
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.
If successful, you will be an integral part of our Global Trading Analytics organization, supporting commercial and trading activities across energy, environmental, and commodity markets. We are seeking a highly motivated quantitative analyst with strong modeling and analytical capabilities to develop and enhance quantitative models, models calibration, analytical frameworks, and decision-support tools that enable trading, risk management, and commercial optimization.
In this role, you will work closely with quants, traders, originators, technologists and risk professionals to help the Global Trading organization and business grow. You will contribute to the development of scalable state-of-the‑art quantitative solutions that support commercial decisions in a fast-paced and evolving market environment.
Develop, implement and maintain quantitative models supporting trading, risk management, valuation, and portfolio optimization across multiple energy commodities (Crude Oil, Natural Gas, Power, LNG, Freight etc …).
Build analytical frameworks to evaluate market fundamentals, price formation, asset relationships, and cross‑commodity trading opportunities.
Conduct statistical analysis, time‑series modeling, scenario analysis, and forecasting to support commercial decision‑making.
Develop and enhance pricing, volatility, correlation, and risk models used by trading, origination and risk management teams.
Partner closely with traders and commercial teams to translate business challenges into quantitative solutions and actionable market insights.
Create and maintain analytical tools, dashboards, and model infrastructure to improve trading efficiency and decision support.
Analyze market behavior and emerging trends across energy, environmental products, freight, foreign exchange, and related financial markets.
Evaluate model performance, conduct back‑testing, and implement model enhancements to improve predictive accuracy and commercial value.
Collaborate with technology teams to deploy robust, scalable, and production‑ready quantitative solutions.
Communicate complex analytical findings and model outputs to commercial stakeholders in a clear and concise manner.
Contribute to the development of quantitative best practices, analytical methodologies, and model governance standards across the organization.
Master's, or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Physics, Computer Science, Operations Research or a related quantitative discipline.
Strong quantitative and analytical problem‑solving skills with the ability to develop practical solutions to complex commercial challenges.
Experience developing quantitative models in commodities or other asset classes either in energy companies, hedge funds or banks.
Strong understanding of probability, stochastic calculus, statistics, optimization techniques and machine learning methodologies.
Experience working with large and complex datasets to generate actionable business insights.
Proficiency in Python ideally or other programming languages such as C++, C#, C or Java.
Experience with quantitative analytics libraries and data science toolsets.
Knowledge of market risk concepts, valuation methodologies, portfolio analytics, and trading performance measurement.
Experience with model validation, back‑testing, and analytical governance frameworks.
Ability to communicate technical concepts effectively to both quantitative and non‑quantitative stakeholders.
Demonstrated ability to work collaboratively in a fast‑paced commercial environment while managing multiple priorities.
More information on our Company’s benefits can be found at .
Please note benefits may be changed from time to time without notice, subject to applicable law.
Learn more at our Follow us on
and Like us on Subscribe our channel at
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co‑venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.