Thursday, February 6, 2014

Job Openings at SCE: Demand Forecasting Planners

Posting two job descriptions (Demand Forecasting Planner and Junior Demand Forecasting Planner) for my friends at SCE. If you or someone you know is interested, please visit http://www.edison.com/careers/careers_application.asp to apply.

I'm putting some of my earlier comments about SCE below, as they are still valid:
SCE's forecasting team has groups doing long term demand forecasting, short term demand forecasting and price forecasting, which I consider as a best practice from the organizational perspective.
This is a super-talented forecasting team. You will enjoy working in this team no matter you are an entry level analyst or an expert forecaster. You can find out more about what they do and how they do things through this webinar recording at Energy Central (registration is free).


Demand Forecasting Planner (Job I.D. # 71005469)

POSITION OVERVIEW:
This position will be in the Portfolio Planning and Analysis division within Southern California Edison’s (SCE) Power Supply Business unit. The successful candidate will work in the Short Term Demand Forecasting (STDF) Group within the Portfolio Planning and Analysis Department by running, maintaining and improving current day to 90 days ahead electricity demand forecasting models. The major responsibilities of the STDF group include forecasting weather, electricity demand, and renewable generation. The forecasts are used for wholesale procurement of electricity for SCE customers and optimal scheduling of renewable resources in the California energy markets. The group works closely with price forecasting, planning, trading, and operations teams at SCE.

Typical responsibilities include:

Provide operational coverage for daily processes: execute early morning day-ahead and extended-day-ahead forecasts, provide hour-ahead updates, work independently on weekend days when needed, and participate in daily forecast meetings.
Prepare seasonal forecasts and provide weekly updates.
Track accuracy of forecasts and perform after-the-fact analysis.
Maintain and help improve existing demand forecasting models and/or develop new ones using a SAS-based Energy Forecasting Platform.
Provide statistical expertise to the trade floor groups on various projects and ad hoc analysis when requested.
Develop weather-to-power generation curves for renewable resources using historical data.
Create weekly and monthly management reports and present forecasts to trade floor groups and management verbally and in writing.
Maintain a safety conscious work environment by following Edison safety protocols and safe work practices.
Perform other responsibilities and duties as assigned.

Job Requirements:

Must have experience with statistical, econometric or financial modeling.
Must have experience with statistical analysis and statistical forecasting
Bachelor’s Degree Economics, Statistics, Finance, or in a similar quantitative area.
Typically possesses five or more years of quantitative analysis experience.
Demonstrated experience working with energy markets.
Demonstrated experience forecasting, planning, and analyzing market trends.
Demonstrated experience developing, maintaining, and/or utilizing time-series, regression, neural network, and other statistical models.
Demonstrated experience preparing findings and presenting complex technical information to technical and nontechnical audiences.
Demonstrated ability to interface effectively and collaborate with peers, clients, management, and other organizations.
Demonstrated ability to work under pressure, adjust to changing priorities, and pay attention to details.
Demonstrated ability to take initiative and accountability for the accuracy of information and for achieving results.
Willingness to work alternative schedules including early mornings, weekends and holidays.
Demonstrated experience using Microsoft Word, Excel, Access and PowerPoint.
Demonstrated ability to follow Edison safety protocols and safe work practices.

Preferences:

Graduate Degree in Economics, Statistics, Finance, or related technical degree. Experience forecasting electricity demand in California and the Western United States.
Knowledge of and experience using SAS tools for statistical analysis and forecasting.
Experience with using smart meter data for demand forecasting
Experience with incorporating behind-the-meter distributed generation into demand forecasting


Junior Demand Forecasting Planner (Job I.D. # 71005443)

POSITION OVERVIEW:
This position will be in the Portfolio Planning and Analysis division within Southern California Edison’s (SCE) Power Supply Business unit. The successful candidate will work in the Short Term Demand Forecasting (STDF) Group within the Portfolio Planning and Analysis Department by running, maintaining and improving current day to 90 days ahead electricity demand forecasting models. The major responsibilities of the STDF group include forecasting weather, electricity demand, and renewable generation. The forecasts are used for wholesale procurement of electricity for SCE customers and optimal scheduling of renewable resources in the California energy markets. The group works closely with price forecasting, planning, trading, and operations teams at SCE.

Typical responsibilities include:

Provide operational coverage for daily processes: execute early morning day-ahead and extended-day-ahead forecasts, provide hour-ahead updates, work independently on weekend days when needed, and participate in daily forecast meetings.
Prepare seasonal forecasts and provide weekly updates.
Track accuracy of forecasts and perform after-the-fact analysis.
Maintain and help improve existing demand forecasting models and/or develop new ones using a SAS-based Energy Forecasting Platform.
Provide statistical expertise to the trade floor groups on various projects and ad hoc analysis when requested.
Develop weather-to-power generation curves for renewable resources using historical data.
Create weekly and monthly management reports and present forecasts to trade floor groups and management verbally and in writing.
Maintain a safety conscious work environment by following Edison safety protocols and safe work practices.
Perform other responsibilities and duties as assigned.

Job Requirements:

Must have experience with statistical, econometric or financial modeling.
Must have experience with statistical analysis and statistical forecasting
Bachelor’s Degree Economics, Statistics, Finance, or in a similar quantitative area.
Typically possesses two or more years of quantitative analysis experience.
Demonstrated experience working with energy markets.
Demonstrated experience forecasting, planning, and analyzing market trends.
Demonstrated experience developing, maintaining, and/or utilizing time-series, regression, neural network, and other statistical models.
Demonstrated experience preparing findings and presenting complex technical information to technical and nontechnical audiences.
Demonstrated ability to interface effectively and collaborate with peers, clients, management, and other organizations.
Demonstrated ability to work under pressure, adjust to changing priorities, and pay attention to details.
Demonstrated ability to take initiative and accountability for the accuracy of information and for achieving results.
Willingness to work alternative schedules including early mornings, weekends and holidays.
Demonstrated experience using Microsoft Word, Excel, Access and PowerPoint.
Demonstrated ability to follow Edison safety protocols and safe work practices.
Candidates for this position must be legally authorized to work directly as employees for any employer in the United States without visa sponsorship.

Preferences:

Graduate Degree in Economics, Statistics, Finance, or related technical degree. Experience forecasting electricity demand in California and the Western United States.
Knowledge of and experience using SAS tools for statistical analysis and forecasting.
Experience with using smart meter data for demand forecasting
Experience with incorporating behind-the-meter distributed generation into demand forecasting

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