Modeling Quantitative Analyst, Cross-Asset Trading Analytics at exxonmobilP

Department: Trading

Location: Spring, Texas
Level: not_specified
Posted: Sep 17, 2026

Summary from listing

ExxonMobil is seeking a Quantitative Analyst for its Global Trading Analytics organization to develop, calibrate, validate, and deploy quantitative models and analytical tools supporting trading, risk management, valuation, portfolio optimization, and commercial decision-making across energy commodities and related markets. The role requires a quantitative degree, experience with commodity or asset-class modeling, strong programming and statistical skills, and the ability to collaborate with traders, risk professionals, and technology teams.

Required Skills

Quantitative modeling
Statistical analysis
Python
Model validation
Risk management
Stochastic calculus

Additional Information

Minimum Education: Master's or PhD in Applied Mathematics, Statistics, Financial Engineering, Physics, Computer Science, Operations Research, or a related quantitative discipline
Required Previous Experiences: Experience developing quantitative models in commodities or other asset classes
Experience working with large and complex datasets
Experience with model validation, back-testing, and analytical governance frameworks
Preferred Qualifications: Advanced degree in a quantitative field
Experience supporting commodity trading, energy markets, environmental products, or financial trading organizations
Experience with derivative pricing, stochastic calculus, Monte Carlo simulation, PDEs, stochastic optimal control, and optimization techniques
Knowledge of power, natural gas, crude oil, refined products, LNG, biofuels, carbon markets, freight, or foreign exchange markets
Experience with cloud-based analytics platforms, distributed computing environments, and modern data architectures
Familiarity with software engineering best practices, version control, testing, and model deployment