Expert Quantitative Analyst - San Francisco, CA

Pacific Gas And Electric Company San Francisco , CA 94118

Posted 2 months ago

Requisition ID# 23197

Job Category : Accounting / Finance

Job Level : Individual Contributor

Business Unit: Strategy and Policy

Job Location: San Francisco


Based in San Francisco, Pacific Gas and Electric Company, a subsidiary of PG&E Corporation (NYSE:PCG), is one of the largest combined natural gas and electric utilities in the United States. And we deliver some of the nation's cleanest energy to our customers in Northern and Central California.

For PG&E, Together, Building a Better California is not just a slogan. It's the very core of our mission and the scale by which we measure our success. We know that the nearly 16 million people who do business with our company count on our more than 24,000 employees for far more than the delivery of utility services. They, along with every citizen of the state we call home, also expect PG&E to help improve their quality of life, the economic vitality of their communities, and the prospect for a better future fueled by clean, safe, reliable and affordable energy.

Pacific Gas and Electric Company is an Affirmative Action and Equal Employment Opportunity employer that actively pursues and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.

Department Overview

The Strategic Quantitative Modeling and Analysis (SQA&M) department is a unit in the Strategy & Analytics (SA) department, which resides within Energy Policy and Procurement (EPP). The SQA&M department currently has eight positions. It is a collaborative team best characterized as an enterprise-wide internal consulting group supporting partners and clients across PG&E. The SQA&M team provides quantitative analysis, probabilistic risk analysis, real-options analysis, Request For Offer (RFO) model valuation development, energy and capacity forward curve support, cost-effectiveness analysis, and avoided cost analysis.

The SQA&M group is a team that resides within the Strategy and Analytics (SA) department, which is responsible for strategy development, decision-support analytics addressing forecasting and planning matters in wholesale and retail energy markets, in PG&E's service territory and California. SA resides within the Energy Policy and Procurement (EPP) organization.

SA has about 40 members who provide business acumen and analytical support for strategic decisions, operational risk management, commercial decisions as well as regulatory support and advocacy. Topics in scope for SA include business models, decarbonization strategies, greenhouse gas (GHG) emissions, climate change, combined heat and power (CHP), curtailment for solar, wind, and hydro, energy storage modeling and valuation, renewable integration and pricing, avoided costs and cost effectiveness analysis for integrated IRP (i.e., demand-side Management (BTM PV, EV, DR, DERs) and supply-side management (CTs, CCs, Nuclear, Batteries, Pumped-storage, etc.)).

Position Summary

The Quantitative Analyst Expert will report to the SQA&M director and will partner and collaborate with colleagues in the SQA&M team as well as others within the EPP organizations and throughout PG&E. The successful candidate will be work from PG&E's headquarters (77 Beale St) in San Francisco, CA.

Job Responsibilities

The expert will effectively partner and collaborate with staff within and outside the SQA&M department. This person will have at least eight years of experience, and will be accountable for:

Works with Directors and Managers across functions to influence decisions involving high degrees of uncertainty such as, (a) operational and market risks analysis, (b) strategic planning, (c) data-driven decision making, (d) analytical support of policy matters. Identifies business implications associated with properties and characteristics of quantitative tools, stochastic models, complex statistical and financial formulas and algorithms, methodologies, and analytic procedures and processes.

Assists in translating business concerns and issues into appropriate mathematical formulations. Designs and develops quantitative models, analytic tools, methodologies, procedures, and processes to address complex and innovative issues in valuing and evaluating assets, transactions, potential transactions, and portfolios. Performs research on analytical methods.

Values and evaluates complex or novel assets, transactions, and potential transactions. Identifies portfolio impacts driven by complex interrelationships across asset classes, market conditions, and regulatory policies. Reviews and critiques technical and quantitative studies and analysis performed by external parties, including consultants, government agencies, and stakeholder groups.

Supports identification, development, implementation, and resolution of advanced analytic issues associated with complex, cross-functional planning or operational matters at PG&E. Designs and composes presentation of advanced analytic content in written reports, testimony, and other written work products for internal and external stakeholders. Explains findings, methodologies, and business implications to internal and external stakeholders.

Advises internal stakeholders on appropriate use of quantitative tools and models. Generating periodic, insightful, succinct reports using programming tools such as SAS JMP Pro, MATLAB, SAS, Tableau, Python, Excel, etc. Providing effective regulatory support in a variety of existing and emerging topics.

Preparing presentations for SA senior management as well as for distribution outside SA and the Company, as reviewed and approved. Representing PG&E externally as required (CPUC and CEC workshops, FERC, EPA, EPRI, trade association task forces, and other similar forums). Making succinct recommendations, extracting business insights, and effectively explaining technical methodologies to others within and outside PG&E, as required and approved. P erforming data visualization studies.

Writing clear documentation for models and procedures. Providing effective verifiable knowledge transfer (VKT) to guarantee effective departmental business continuity consistent with Enterprise Risk Management and Information Systems (ERIM). Meeting deadlines and effectively managing projects.



  • Bachelor's degree in mathematics, physics, engineering or other quantitative discipline, or equivalent experience

  • Requires a minimum of five years of relevant experience in the energy sector exposed to generation, T&D, utility operations (gas and electric) or related field.


  • Effective and flexible, oral and written communication skills adaptable to address diverse audiences such as senior management, regulatory, technical, and non-technical groups.

  • Collaborative person with a customer orientation. Strong team-player skills.

  • Proven deep experience in regulated and unregulated energy and utility sectors.

  • Demonstrated experience deploying financial and real-options analysis including Monte Carlo Simulation and combining and recombining trees to assess optionality.

  • Graduate degree (PhD or masters) in mathematics, physics, engineering, or other highly quantitative discipline. Such as (options analysis, financial engineering, decision analysis, multivariate statistics, predictive analytics, finance, economics, operations research, statistics, etc.)

  • Strong programming skills including knowledge of some of the following tools: SAS, SAS JMP, Python, Advanced Excel, VBA, Matlab, Xpress (or other optimization tools), @Risk (or Crystal Ball), and Risk Optimizer, Tableau, Spotfire, Mathcad, Mathematica

  • Strong proficiency with the following Microsoft tools such as OneNote, Word, PowerPoint, Excel

  • Knowledge of Teradata, large central data repositories, Bloomberg.

  • IT savvy wit strong knowledge of SQL and other database tools.

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Expert Quantitative Analyst - San Francisco, CA

Pacific Gas And Electric Company