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Analysis & Modeling Risk Analyst, Expert

LocationSan Francisco, California;

Requisition ID # 75021 

Job Category : Accounting / Finance 

Job Level : Individual Contributor

Business Unit: Finance

Department Overview

The Market and Credit Risk Management (M&CRM) department consists of Credit and Emerging Risk, Governance, Analysis and Modeling, and Infrastructure and Controls functions.  PG&E engages in various standard and nonstandard natural gas and electric procurement activities, and it is the responsibility of the M&CRM department to facilitate transaction execution and assist in mitigating market, credit and liquidity risks associated with contractual obligations and associated potential liquidity requirements. 

Position Summary

Expert, Analytics and Modeling is a team member leading in the design, development, implementation, maintenance and validation of models, algorithms and processes used in risk analyses, forecasting and transaction valuation, as part of large-scale middle office systems. A front-line developer working on technical development phases: data engineering, analytics/modeling, data science and presentation layers. The Expert Works with other groups within M&CRM and the rest of PG&E to determine and meet their computational finance needs.

Job Responsibilities

  • Front line development and coding of numerical algorithms in computational finance regarding energy risk management.
  • Quantitative analysis of energy commodity prices, derivatives and transactions as needed for decision support in multiple lines of business.
  • Build frameworks for implementing tools and processes to improve quality and timeliness of risk reports.
  • Development of risk metrics and stress scenarios.
  • Design of analytical and diagnostic tools to ensure accuracy and timely computation of risk metrics and facilitate analyses of energy portfolios.
  • Measurement of hedging strategies and programs.
  • Validate financial models for multiple lines of business
  • Promote a culture, through effective risk awareness, where employees take accountability for models and analysis.

    Minimum Qualifications:
  • Bachelor's in Industrial Engineering Operations Research, Information Systems, Data Science, Business, Engineering, Financial Engineering, Economics, Statistics, or Mathematics, or equivalent experience.
  • Minimum of seven (7) years of experience in analytical methods and modeling

  • Master's in Industrial Engineering Operations Research, Information Systems, Data Science, Business, Engineering, Financial Engineering, Economics, Statistics, Mathematics, or equivalent experience
  • Utility or Energy Industry experience preferred
  • 8 years of experience in energy risk analytics, modeling or forecasting
  • 5 or more years of experience in some relevant programming languages and tools - for example Python, MATLAB, FORTRAN, C++, C#
  • 3 years of experience implementing complex numerical algorithms at the code library level, such as Monte Carlo simulation, network optimization, or real option valuation
  • 3 years of experience in data management within a commodity trading environment
  • 3 years of Utility or energy industry experience.
  • Experience of risk and compliance techniques as needed to perform at the job level
  • Experience with agile development techniques
  • Proven oral and written communication skills.

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  • Accounting / Finance, San Francisco, California, United StatesRemove