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Strong fit if you enjoy principal-level quantitative ownership in a high-scrutiny utility context, can defend models to non-quants, and want Oakland/Bay Area–flexible work on risk and compliance modeling—not pure product data science.
As a Principal Risk & Compliance Quantitative and Modeling Analyst at PG&E, a typical day blends model design/validation, risk metrics, and compliance documentation for regulated utility decisions. You may stress-test scenarios, challenge assumptions with stakeholders, translate quantitative findings for risk/compliance partners, and track model inventory, controls, and audit-ready evidence under California utility oversight.
Prioritize: statistical/ML modeling, model validation, risk metrics (credit/operational/market-style where applicable), regulatory writing, Python/R/SQL, and control design. No certification resources were provided in DATA.
The listing is location-flexible around Oakland/Alameda County; DATA marks remote as not fully remote (remote=0).
Senior ownership of quant methods, validation standards, and cross-functional risk/compliance influence rather than junior analysis only.
No pay bands, Glassdoor/Indeed scores, or star ratings were provided in DATA—treat those as unknown.
Website: pgecorporationcareers.com
Public cache only — not an employee review.
Join PG&E Corporation as a Principal Risk & Compliance Quantitative and Modeling Analyst in Oakland, Alameda County. In this full-time leadership position, you'll build and manage quantitative frameworks that measure enterprise risk, ensure regulatory compliance, and inform critical business decisions for a major utility company. About the Role As a Principal-level analyst, you'll design and oversee the quantitative systems and compliance models that protect PG&E's operations, reputation, and stakeholder trust. This role bridges risk management, compliance oversight, and financial analysis—requiring both technical rigor and strategic perspective to navigate complex regulatory requirements while supporting business growth. What You'll Do Build and maintain quantitative models for enterprise risk assessment, regulatory compliance measurement, and financial impact projection Lead identification, root-cause analysis, and mitigation planning for compliance and operational risks across business units Design executive-facing dashboards, metrics frameworks, and analytical reporting for regulatory and board-level stakeholders Partner with finance, operations, and strategy leadership to embed risk insights into capital planning and policy decisions Support regulatory submissions, audit responses, and compliance certifications with rigorous analytical validation Mentor and guide junior analysts in risk quantification methodologies and compliance analytics What We're Looking For Master's degree in mathematics, statistics, engineering, economics, finance, or closely related quantitative discipline Extensive professional experience in risk management, compliance measurement, or quantitative modeling in large, regulated organizations Advanced proficiency in statistical analysis, financial modeling, scenario analysis, and data visualization Strong working knowledge of regulatory frameworks, compliance requirements, and governance practices in energy or similarly regulated sectors Demonstrated expertise with analytical platforms and programming languages such as SQL, Python, R, or equivalent tools Proven ability to communicate sophisticated analyses clearly to executive and non-technical audiences Principal-level experience leading complex projects, aligning cross-functional teams, and translating data into strategic recommendations About PG&E Corporation PG&E Corporation powers and serves millions of people across Northern California. As a leader in energy delivery and infrastructure, PG&E maintains rigorous standards for risk management, safety, and compliance in an increasingly complex regulatory environment. How to Apply Apply through this job listing with your resume, cover letter, and relevant examples of quantitative modeling or compliance work.
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