Senior Quantitative Analyst, Electric Asset Risk (Hybrid)

Pacific Gas and Electric Company; Oakland (CA); Hybrid; USD 100,000 - 169,000; Full time

Job summary

Pacific Gas and Electric Company seeks a Senior Quantitative Analyst to apply advanced analytics to asset performance and failure analysis within Electric Asset Strategy. You will build scalable models, leverage Python/SQL and Palantir Foundry, and collaborate with cross-functional teams to drive risk-informed decisions.

The role emphasizes developing defensible analytical solutions, translating insights into actionable steps for asset management, and contributing to AI/ML initiatives to enhance

Qualifications

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field.
• Job-related experience: 4 years
• OR Master’s Degree and 3 years of job-related experience
• OR Doctorate and 1 year
• Desired: Job-related experience: 6 years

Responsibilities

• Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform engineering and business decisions related to electric distribution asset performance.
• Creates data mining architectures, models, protocols, statistical reporting, and analytical methodologies to identify trends and failure patterns in structured and unstructured datasets.
• Extracts, transforms, and loads data from dissimilar sources across PG&E to support feature engineering and analytical workflows.
• Applies data science, machine learning, and artificial intelligence methods to develop defensible, reproducible predictive or optimization models supporting asset failure analysis and risk mitigation.
• Partners with engineers, asset managers, compliance, inspections, wildfire risk and operations teams to ensure analytical outputs are actionable and aligned with electric distribution system design, operation, and maintenance.
• Serves as the technical lead for the development of discrete analytical models and solutions, ensuring sound methodology and clear documentation.
• Develops and presents complex analytical topics in a clear, concise manner to employees and stakeholders at various levels of the organization.

Skills

Quantitative analytics

Data mining

Statistical analysis

Communication (oral and written)

Education

Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field

Job-related experience: 4 years

Master’s Degree and 3 years of job-related experience

Doctorate and 1 year

Desired: 6 years of job-related experience

Tools

Python

SQL

Palantir Foundry

BI tools

Job description

Pacific Gas and Electric Company seeks a Senior Quantitative Analyst to apply advanced analytics to asset performance and failure analysis within Electric Asset Strategy. You will build scalable models, leverage Python/SQL and Palantir Foundry, and collaborate with cross-functional teams to drive risk-informed decisions.

The role emphasizes developing defensible analytical solutions, translating insights into actionable steps for asset management, and contributing to AI/ML initiatives to enhance