Chevron is accepting online applications for the role of Senior Finance Analyst - AI & ML, through June 26, 2026, 11:59pm Central time.
The Senior Finance Analyst - AI & ML is a role sitting at the intersection of rigorous quantitative finance and frontier machine learning. You will architect and deploy production-grade AI & ML systems that materially shape capital allocation decisions, financial forecasting, and risk modeling across the organization. This is not a support function - you will own the full analytical lifecycle, from problem formulation to model deployment, and your work will be directly visible to senior leadership. This role will be based in Houston, TX. We are looking for candidates who possess a rare blend of deep theoretical knowledge and battle-tested engineering skills.
Responsibilities include, but are not limited to, the following:
Design, build, and own advanced machine learning and statistical models that directly inform corporate financial planning, capital allocation, and strategic risk assessment.
Develop predictive and generative AI systems for financial forecasting, scenario analysis, anomaly detection, and portfolio optimization.
Translate complex, ambiguous business problems into mathematically rigorous AI/ML solutions with clear, quantifiable impact.
Build and maintain production-ready ML pipelines - from data ingestion and feature engineering through model training, validation, deployment, and monitoring.
Partner with finance leadership, data engineering, and technology teams to integrate AI/ML outputs directly into decision-making workflows.
Establish and champion model governance practices, including interpretability, bias assessment, and auditability frameworks appropriate for regulated financial environments.
Continuously evaluate and adopt frontier AI/ML methodologies - large language models, time-series forecasting, causal inference, reinforcement learning - where applicable to finance.
Mentor junior analysts and contribute to building a rigorous, intellectually demanding team culture.
Required Qualifications:
Education: Bachelor's degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Quantitative Finance, or another highly quantitative discipline. Master's or PhD strongly preferred.
Experience: 5-7+ years building and deploying advanced AI/ML solutions in production environments. Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains.
Proven track record of owning complex end-to-end ML projects from ideation to measurable business impact.
Mastery of core and advanced techniques: Python (expert), PyTorch/TensorFlow/JAX, SQL, probabilistic programming (e.g., Pyro, Stan), causal inference, time-series analysis (including modern state-space and transformer-based models), optimization (linear/non-linear, stochastic), and large-scale data engineering.
Deep understanding of corporate finance principles (or the ability to learn them at exceptional speed) combined with the ability to challenge conventional financial thinking with data-driven rigor.
Exceptional communication skills - you can explain sophisticated models to CFOs and Boards while maintaining technical depth with peers.
Relocation will be considered.
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.