Modeling Quantitative Analyst, Cross-Asset Trading Analytics

Modeling Quantitative Analyst, Cross-Asset Trading AnalyticsLocation: Spring, TX, US, 77389 Company Name: ExxonMobilIf 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.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.An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.