Principal Quantitative Analyst - Asset Failure & Strategy

PG&E; Oakland (CA); Hybrid; USD 140,000 - 251,000; Full time

Job summary

PG&E in Oakland, CA seeks a Principal Quantitative Analyst to advance asset insights for the Distribution Asset Risk Management team. You will develop scalable analytical solutions using Python, SQL, Palantir Foundry, and BI tools to identify failure causes and trends.

Collaborate with engineers, asset managers, compliance, and operations to ensure actionable outputs that support design, operation, and maintenance of the electric grid. This is a hybrid role with strong leadership expectations.

Qualifications

• Bachelor's Degree in a related field
• 8 years job-related experience, OR Masters with 7 years, OR Doctorate with 5 years
• Advanced degree encouraged
• Experience leading large, cross-functional projects

Responsibilities

• Manages and builds consensus for major cross-functional and cross-company projects.
• Develops industry-wide best practices and collaborates with utilities and industry groups.
• Develops and evaluates advanced quantitative tools and analyzes issues to provide recommendations.
• Proactively identifies future challenges and innovates on models and assumptions.
• Coaches, mentors, and trains others.
• Influences policy and program strategy at utilities and regulatory agencies.
• Sponsors testimony on complex analysis and policy issues.
• Evaluates third-party work products and compares to internal outputs.
• Identifies opportunities to improve business processes.
• Maintains relationships with stakeholders regarding quantitative modeling and analysis.
• Creates data mining architectures and predictive models for asset failure analysis.
• Applies data science and AI methods to develop defensible models.
• Partners with engineers and operations teams to ensure outputs are actionable.

Skills

Quantitative analytics

Data science

Leadership

Communication

Cross-functional

Education

Bachelor's Degree

Master's Degree

Doctorate

Tools

Python

SQL

Palantir Foundry

BI tools

Job description

PG&E in Oakland, CA seeks a Principal Quantitative Analyst to advance asset insights for the Distribution Asset Risk Management team. You will develop scalable analytical solutions using Python, SQL, Palantir Foundry, and BI tools to identify failure causes and trends.

Collaborate with engineers, asset managers, compliance, and operations to ensure actionable outputs that support design, operation, and maintenance of the electric grid. This is a hybrid role with strong leadership expectations.