Finance AI & ML Senior Analyst

Responsibilities

• Design, build, and own advanced machine learning and statistical models to 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.
• Build and maintain production-ready ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Translate complex business problems into mathematically rigorous AI/ML solutions with quantifiable impact.
• Partner with finance leadership, data engineering, and technology teams to integrate AI/ML outputs into decision-making workflows.
• Establish model governance practices, including interpretability, bias assessment, and auditability frameworks.
• Mentor junior analysts and contribute to a rigorous, intellectually demanding team culture.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Quantitative Finance, or a highly quantitative discipline (Master’s or PhD preferred).
• 5–7+ years of experience building and deploying advanced AI/ML solutions in production environments.
• Expert-level proficiency in Python.
• Proficiency in PyTorch, TensorFlow, or JAX.
• Strong experience with SQL and probabilistic programming (e.g., Pyro, Stan).
• Deep knowledge of causal inference and time-series analysis.
• Proven track record of owning complex end-to-end ML projects from ideation to business impact.
• Exceptional communication skills with the ability to explain sophisticated models to executive leadership.

About the Company

Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry, from exploration and production to refining, marketing, and the development of advanced technologies.