Quantitative Research Analyst Salary in Oakland, CA

Expert Strategic Analyst **Location** Oakland, California; I'm Interested (https://careers.pge.com/job/Oakland-Expert-Strategic-Analyst-CA-94612/1159937800/?feedId=306700) Requisition ID # 157135 Job Category: Business Operations / Strategy Job Level: Individual Contributor Business Unit: Engineering, Planning & Strategy Work Type: Hybrid Job Location: Oakland **Department Overview** PG&E’s Strategy team leads the development and facilitation of True North Strategy, co-creates and supports strategy and policy initiatives related to Energy System Strategies, leads Partner of Choice workstreams, and incubates emerging business opportunities. With PG&E’s core values of serving our planet and delivering for our hometowns at heart, the team assesses cross-functional and line of business specific industry trends and opportunities, provides internal consulting to support line of business strategy development and performance improvement, and leads high-profile utility initiatives. **Position Summary** The Expert Strategic Analyst is responsible for owning and supporting several work streams and analysis projects within the Strategic Development’s Partner of Choice initiative. This initiative is focused on how PG&E can better serve its customers, business partners, and communities through an improved customer experience, investment planning efforts, and research into new ways of partnering with customers to better serve them. The scope of this role is to provide economic, financial, and business modeling analytical support. The successful candidate will collaborate closely with internal departments, regulatory, and utility industry peers to influence the company’s current and future priorities. The ideal candidate will be given growth opportunities to lead substantial areas of work and collaborate with senior leadership in which one will learn quickly by doing, be comfortable operating flexibly amid shifting scopes and projects, and multitask and manage conflicting priorities effectively. 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. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors.​ This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. A reasonable salary range is:​ Bay Area Minimum: $118,000 Bay Area Maximum: $188,000 &/OR​ California Minimum: $112,000 California Maximum: $179,000 **Job Responsibilities** + Research key areas for PG&E and our customers and use this deep understanding to develop and pilot innovative partnership solutions for our hometowns + Support financial modeling for projects, including the preparation of reports and recommendations to enable our senior leadership to make informed decisions and adjust strategies + Provide supporting technical quantitative and qualitative analysis to support the design, test and evaluation of strategy initiatives and projects + Help develop communications materials to engage PG&E leadership, internal program management teams and external stakeholders in project objectives and learnings + Aid in the development of proof-of-concepts, demonstrations and pilots that showcase and test a variety of potential innovative solutions + Work with key stakeholders to support project objectives, execute strategy, and disseminate learnings + Coordinate meetings and engage stakeholders – drive project execution across internal stakeholders, key partners, and end-users + Input data into and extract information from various information systems and databases + Perform ad hoc financial analysis as requested to identify patterns and link outcomes to drivers + Create and analyze Key Performance Indicators (KPIs) and identify performance trends, risks, and opportunities + All other duties as assigned **Qualifications** Minimum: + Bachelor’s degree in Economics, Statistics, Mathematics, Policy, Business, Finance, Sociology, Engineering, Physics or other related fields or equivalent work experience + 6 or more years of relevant experience in Utility Operations, Business Finance, Program Management, and/or Account Management + Ability to use various software tools, including models, spreadsheets, and databases, to perform analysis and compellingly communicate findings + Experience working with data visualization tools (e.g., Tableau, Power BI) Desired: + Advanced degree in energy policy, public policy, social sciences, or engineering + Analytically minded and organized, with background of financial and economic analyses with experience building financial models + Self-motivated with a proven ability to work independently and as part of a team, with excellent time management skills and the ability to prioritize tasks effectively + Strong interpersonal skills with experience working with cross-functional teams, including accounting, legal, finance and engineering teams, to achieve common objectives + Understanding of electric system operations and engineering principles + Previous experience with or knowledge of policy and technical structure of energy utilities + Work at electric or natural gas utilities, independent power producers, wholesale energy market participants, regulatory agencies, consulting firms, or similar organizations I'm Interested (https://careers.pge.com/job/Oakland-Expert-Strategic-Analyst-CA-94612/1159937800/?feedId=306700)

Principal Data Scientist **Location** Oakland, California; I'm Interested (https://careers.pge.com/job/Oakland-Principal-Data-Scientist-CA-94612/1160089100/?feedId=306700) Requisition ID # 157227 Job Category: Accounting / Finance Job Level: Manager/Principal Business Unit: Gen Counsel, Ethics, Risk & Compliance Work Type: Hybrid Job Location: Oakland **Department Overview** The Enterprise Risk and Operational Risk Management (EORM) organization is responsible for enabling the business to effectively manage risk in key areas of the enterprise. EORM organization is charged with overseeing all operational risk management related to PG&E’s operations and public safety including evaluating risks associated with wildfires, nuclear, dams, natural gas, cyberattacks and natural disasters. **Position Summary** The Principal Data Scientist will support the enterprise risk analytics function of providing quantitative risk analysis and modeling for effectively managing a variety of enterprise and operational risks that PG&E face. The work that the position performs will inform important decisions at PG&E and support various regulatory filings such as Risk Assessment and Mitigation Phase (RAMP), General Rate Case (GRC), Wildfire Mitigation Plan (WMP). You will work on continuous improvement of quantitative assessment of risk and its mitigations, and evolvement of the analytical tools (data processing, algorithms, python codes, excel files, foundry, etc) that enable consistent and useful evaluation of the risks and mitigations across the company. You will be responsible for designing, developing, and executing scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating actionable insights for strategy and policy development, process improvement, and product enhancement. You will also work on technical development phases: data engineering, analytics/modeling, and visualization/user interface; interact with technical and non-technical clients to resolve analysis and technical issues; and work with teams, clients, and senior leadership throughout the development cycle practicing continuous improvement. You will also review and validate existing methods, assumption, algorithms and models used and work on improving and advancing risk analytics at PG&E. This position is hybrid, working from your remote office and Oakland General Office once per week and based on business needs. 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 between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors.​** This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. A reasonable salary range is: Bay Area Minimum: $159,000 Bay Area Maximum: $271,000 **Job Responsibilities** + Work closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets. + Gather, clean, transform, and/or reduce data from dissimilar sources from across PG&E. + Work with business partners to advance business processes, based on analytical findings. + Apply machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within PG&E’s software development environment. + Document data sources, methodology, and model evaluation metrics. + Mentor junior data scientists, analysis and modeling risk analysts, risk analysts and drive standardization in process and toolsets across the data science community at PG&E + Collaborate with analytics platform owners to prioritize and drive development of scalable data science and risk and mitigation modeling capabilities at PG&E + Manage the development of complex quantitative models and tools + Validate risk models, inputs, outputs, algorithms, and codes + Assess existing methods used in risk and mitigation modeling at PG&E and advocate, drive, and implement evolution and improvements + Recognize and prioritize the most important work related to risk analytics to achieve highest operational impact and drive risk-informed decision making + Utilize deep understanding of business and risk drivers and financial levers to provide strategic decision support + Assess business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis. + Present findings and make recommendations to executive leadership and cross-functional senior management + Discuss and explain the risk analysis and modeling methodology to internal and external stakeholders including presenting to public workshops + Research the quantitative methods and findings related to risk and mitigation analysis relevant for PG&E **Qualifications** Minimum: + Doctoral degree in computer science, econometrics, economics, engineering, mathematics, applied sciences, statistics, machine learning or job-related discipline + 4 years of job-related experience Desired: + Relevant industry experience (electric or gas utility, analytical consulting, etc), 8 years + Experience in quantitative risk analysis or Probabilistic Risk Assessment + Strong foundation of probability, probability distributions, statistics and risk analysis + Competent programming skills in a language especially in Python and familiarity with Git + Demonstrated experience of Monte Carlo simulation methods and models + Familiarity and experience with Bayesian statistics and inference + Ability to work independently and proactively and to take initiative to improve analytical methods or processes + Proficiency with the elements of the data management lifecycle (data acquisition, security, storage, architecture, integration, governance, compliance, reference data management, data quality and metadata) and best practices + Experience with the elements of Model Lifecycle Management + Experience using retrieving data from structured database using SQL + Strong Excel and PowerPoint skills + Strong data visualization skills and techniques for communicating risk-related data and modeling results in a clear and visually compelling manner + Strong problem-solving, analytical, and organizational skills with attention to detail + Ability to share knowledge, information and progress with the team effectively and efficiently + Effectively copes with change, makes decisions and acts without having complete information and comfortably handles risk and uncertainty. + Ability to research and apply knowledge, skills, and techniques to risk analysis + Ability to manage conflicts in a positive, non-abrasive manner + Ability to communicate with peers, leadership, and stakeholders in a clear and effective manner + Highly motivated and self-driven + Ability to collaborate with people with diverse background and skillsets + Ability to effectively manage and prioritize multiple and diverse tasks and adhere to tight deadlines + Knowledge of the industry trends and current issues in job-related area of responsibility as demonstrated through peer reviewed journal publications, conference presentations, open source contributions or similar activities + Competency with relevant project management tools, theories and techniques as needed to support the timely and successful execution of project requirements + Competency with commonly used data science and/or operations research programming languages, packages, and tools + Proficiency in synthesizing complex information into clear insights and translating those insights into decisions and actions + Ability to clearly communicate complex technical details and insights to colleagues, stakeholders and leadership + Knowledge of the mathematical and statistical fields that underpin data science + Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals \#featuredjob I'm Interested (https://careers.pge.com/job/Oakland-Principal-Data-Scientist-CA-94612/1160089100/?feedId=306700)