Expert Quantitative Analyst - PLEXOS

Requisition ID # 152529 

Job Category: Accounting / Finance 

Job Level: Individual Contributor

Business Unit: Energy Policy & Procurement

Work Type: Hybrid

Job Location: Oakland

Department Overview

The Energy Policy and Procurement (EPP) organization procures energy-related products and manages PG&E’s policy activities for energy proceedings, actively participating in regulatory and legislative proceedings that craft the design and implementation of state, regional, and federal energy regulations and policy. In addition, EPP is responsible for long-term planning, risk management, and compliance functions related to PG&E’s energy portfolio.

Position Summary

Develops models using PLEXOS to assess and rank physical and financial energy resources obtained in request for offers (RFOs). The offers’ metrics (reliability, emissions, economics, and impact on existing resources )  will focus on the contributions to CAISO and PG&E portfolios. Performs sophisticated analysis to support decision-making of ad-hoc supply/demand side valuations; supports regulatory filings. Uses SAS JMP to model and forecasts  congestion-revenue-rights (CRRs) in collaboration with the SQA&M team and others. Also plays a significant role in portfolio volumetric and price hedging analysis.

This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:

Bay Area Minimum: $122,000.00

Bay Area Maximum: $194,000.00

OR

California Minimum: $116,000.00

California Maximum: $184,000.00

Job Responsibilities

• Identifies business implications associated with properties and characteristics of quantitative tools, models, 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.
• Works with Directors and Managers across functions to influence decisions.

Qualifications

Minimum:

• Bachelor’s degree in mathematics, physics, engineering or other quantitative field, or equivalent experience
• 5 years of job-related experience, user knowledge of PLEXOS for energy resource modeling and analysis or other similar tools 

Desired:

• PLEXOS Certificate

• Modelling operations and economic performance of energy storage assets – batteries, pumped-storage, hydro, natural gas in a portfolio-wide (CAISO/WECC, etc.) context
• Modeling solar (collocated with batteries), wind and “all-types” of conventional (non-renewable) resources
• Modelling with stochastic features of tools such as Plexos (Preferred), Aurora, PSSE, GridBright Symphony, PSLF, PROMOD IV or other similar applications

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