Requisition ID # 159281 

Job Category: Accounting / Finance 

Job Level: Individual Contributor

Business Unit: Operations - Other

Work Type: Hybrid

Job Location: Auburn; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Avenal; Avila Beach; Bakersfield; Balch Camp; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Non-PG&E Non-US Off Shore Work Location; Non-PG&E US Work Location; Novato; Oakdale; Oakhurst; Oakland; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Washington; Washington D.C.; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

 

 

Department Overview

 

Power Generation operates and maintains PG&E's hydroelectric, fossil, solar generation and battery storage facilities, providing approximately 5,300 megawatts of generating capacity for our customers. Our nearly 900 coworkers are dedicated to delivering safe, reliable and cost-effective generation to California in an environmentally responsible manner. Our hydro facilities include 62 conventional hydro powerhouses, a pumped-storage facility, 98 reservoirs, 168 dams and more than 200 miles of canals and flumes, among other water conveyances. Natural gas-fired plants in operation are Humboldt Bay Generating Station in Eureka; Colusa Generating Station in Colusa County and Gateway Generating Station in Antioch. Several utility-scale solar generation plants also are operated and maintained, as well as PG&E’s successful entry into battery energy storage, our Elkhorn Battery facility at Moss Landing in Monterey County.

 

Position Summary

 

The position is flexible within the PG&E Service Territory. Candidates within vicinity of Oakland and Auburn preferred.

 

This position is hybrid, working from your remote office and assigned headquarter location at least once per week; subject to change per business needs.

 

This position will serve as an Expert level Risk Model and Analysis Owner, on the Risk, Compliance and Quality Management team. This position reports to the Sr. Manager, Power Generation Risk & Compliance, and is expected to contribute to the development and maintenance of risk models and analyses, including their data, associated processes, tools, and system integrations, all in support of Power Generation's Integrated Risk Management Program's quantification and management of the organization's risk portfolio. This position will participate in risk management and quantification workshops and forums; and help continue to embed risk management into the organization's fundamental business processes. Finally, this position will maintain alignment with Asset Excellence and other stakeholder departments, internally and externally to Power Generation.

 

An ideal candidate has:

A combined expertise in engineered power generation systems and components, and the translation of system and component functions and organizational vulnerabilities into risk models and analysis for realistic risk-informed decision making, while leveraging probability, statistics and commonly used quantitative modeling techniques. A proven ability to communicate complex issues, risk models, analyses, methodologies, or strategies with straightforward spoken and written narratives understood by a non-technical audience, which will also be used as written basis or justification to be used for regulatory testimony and business planning. A proven ability to lead teams, with or without positional authority, in complex evaluation, analysis, modeling and communication of risk-related issues. Experience with running risk models, data analytics and coding in Python or other similar language, and working with SAP, Foundry, or other database management platforms. Identify relevant available risk data and databases that support and leverage risk modeling conducted across partnering Functional Areas (FAs); build and maintain data pipelines from these datasets to ensure risk data is accurate and model quality is appropriately controlled. Collaborating with PGen Asset Excellence, Propel, and Enterprise and Operational Risk Management (EORM) to maintain risk modeling and analyses that may leverage tools like SAP, Copperleaf, Excel, Python code, PowerBI and Tableau dashboards, and Foundry platform. Developing solutions to resolve areas for improvement relative to data use and collection, improving transparency related to the use of subject-matter-expertise in risk assessments and mitigation planning. A track record of medium to large project / program management success Demonstrated ability to deliver technical projects with a team, often under tight time constraints. Outstanding communication skills; confident presenting to executives and external stakeholders. A natural dedication to and ownership of quantitative risk analysis and management.

 

The ideal candidate will also have knowledge of the Utility industry and its operations; strong quantitative and analytical skills; and the ability to build and maintain relationships, internal and external to the Power Generation Functional Area.

 

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.  Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

 

A reasonable salary range is:

 

Minimum Base Salary (Bay Area)           $ 122,000.00

Maximum Base Salary (Bay Area)          $ 194,000.00

 

OR

 

Minimum Base Salary (California)           $ 116,000.00

Maximum Base Salary (California)          $ 184,000.00

 

Job Responsibilities

 

Develop and manage Power Generation risk models in collaboration with PGen Asset Excellence, Propel, EORM, and FA counterparts to align organization-wide risk modeling and analysis with the Utility's Business Plan Deployment process and regulatory requirements, including the CPUC General Rate Case Plan and associated Risk Assessment & Mitigation Phase (RAMP) filing and associated testimony. Building integration between risk modeling and analytics while primarily leveraging Asset Knowledge Management to align with SAP, Foundry, MetricStream, and other Systems of Record tools used within the company and industry. Developing analysis and provide visualizations that clearly communicate risk trends, risk management progress and areas for improvement. Develop risk metrics and stress scenarios. Develop mathematical modeling of commodity prices, derivatives and transactions as needed to analyze and quantify risks. Implement tools and processes to improve quality and timeliness of risk reports. Design analytical and diagnostic tools to ensure accuracy and timely computation of risk metrics and facilitate analyses of portfolios. Work with Controls team to streamline risk metric processes, eliminate manual steps and ensure limited disruptions in computation process. Diagnose metric or process errors and make recommendations for remediation. Perform review of models developed by Front Office quant team and other sources as needed and the key risk models developed by Mid Office quant team. Perform stress tests to determine portfolio level impacts on energy procurement costs. Assess and report on the effectiveness of hedging strategies and programs.

 

 

Qualifications

 

 

Minimum:

 

Bachelor’s degree in Information Systems, Business, Engineering, Financial Engineering, Economics, Statistics, or Mathematics or equivalent experience. Minimum of 7 years of experience in analytical methods and modeling.

 

Desired:

 

Master’s in Information systems, Engineering, Mathematics, Statistics, Data Science, Computer Science, Quantitative Analysis, Financial Engineering, Economics, or equivalent experience. Utility or Energy Industry experience, including a demonstrated knowledge and experience in utility industry risk management. Proven Excel Experience and ability to read, understand, and potentially write code in a language such as VBA, Python or Matlab. Experience with Copperleaf. Demonstrated experience in visualization tools and techniques and refined visualization skills for communicating risk quantification results and progress. Effectively copes with change, makes decisions and acts without having complete information and comfortably handles risk and uncertainty. Applies knowledge, skills, and techniques to define, implement, control, report, and improve processes. Knows the business and its environment, knows key issues and trends. Ability to analyze complex processes and strategies with the ability to abstract or synthesize from one set of ideas or facts to another, identify causal relationships, and anticipate challenges and obstacles. Communicates with peers, subordinates, leadership, and stakeholders, using a variety of media and conveys information or conclusions in a clear, direct, and non-threatening manner. Even tempered, manages conflicts in a positive, non-abrasive manner, comfortable interacting with individuals at all levels and demonstrates good judgement and listening skills. Ability to communicate effectively, hold meetings, discuss issues and controls, and report on progress of work product with key stakeholders. Ability to work effectively as part of a multi-discipline team. Can maneuver complex organizational change effectively and without disruption. Ability to build effective relationships across lines of business. Flexible, organized, and able to effectively lead initiatives and manage multiple, diverse tasks while adhering to tight deadlines. Ability to deliver quality work with minimal direct oversight. Understands the company's overall goals and strategies.

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