Modeling & Forecasting Analyst, Senior

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POST DATE 9/2/2016
END DATE 11/17/2016

Pacific Gas & Electric San Francisco, CA

Company
Pacific Gas & Electric
Job Classification
Full Time
Company Ref #
53714271-E01
AJE Ref #
576066606
Location
San Francisco, CA
Job Type
Regular

JOB DESCRIPTION

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CompanyBased 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 OverviewThe Risk and Audit organization is responsible for
enabling the business to effectively and efficiently manage risk in key areas of the enterprise. The Risk organization is comprised of four departments: (1) Internal Audit; (2) Market and Credit Risk Management (M&CRM); (3) Finance
Compliance and Controls;
and (4) Enterprise and Operational Risk Management (EORM) and
Insurance.
The M&CRM department consists of quantitative analysis, credit risk management, market and transaction risk, risk governance, and risk control and reporting. M&CRM is
primarily focused on the risk management of the company's natural gas and electric procurement activities. PG&E engages in various standard and nonstandard procurement activities, and it is the responsibility of
the department to facilitate transaction
execution and assist in mitigating market, credit and liquidity
risks associated with contractual obligations and associated potential liquidity requirements.
The Analysis and Modeling (A&M) group within M&CRM is responsible for model design and
programming and much of the more sophisticated quantitative analysis within the company. It is the main owner of forward pricing and portfolio risk analysis models whose output is reported to the trading organization, senior management, and the CPUC. The group
consults on quantitative market and credit issues for the rest of the department and supplies quantitative analysis services throughout the risk management and energy procurement organizations.Position SummaryThis position is expected to contribute
in the areas of
model design, programming, and testing, as well as to weigh in on policy with a quantitative aspect
(e.g. risk metric evaluation and reporting). This position reports to the Senior Manager of Analysis
and
Modeling.QualificationsMinimum Qualifications:
? Bachelors in information systems, business, engineering, financial engineering, economics, statistics, or mathematics
? Minimum of 5 years in analytical methods and modeling
Desired Qualifications:
? Master?s in a quantitative discipline or a quantitative MBA; Ph.D. in quantitative discipline preferred
? 8+ years quantitative experience in energy sector, including valuation and risk assessment
? Demonstrated in depth
understanding of commodity trading activities, standard energy derivatives and physical products, and ability to analyze and validate risk exposures