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This position will lead the risk quantification efforts for all ERM enterprise risks. This includes working with risk owners to ensure that risks are accounted for in our risk models, and that the benefits of our control and mitigation programs are accurately represented. This role requires the ability to tell the story quantitatively where risk exists and how PG&E is managing it. This position is a technical role where the successful candidate will need to navigate and synthesize varying sets of data. In addition, the successful candidate will have the ability to effectively communicate how the quantitative risk models work and explain the results to risk owners and the leadership team. The prospective candidate is organized, can grasp concepts quickly, and adapt to new information. Time management and ability to meet deadlines is imperative to success in this role.
Job Responsibility:
Leads development and maintenance of quantitative risk models in support of enterprise risk management activities and regulatory proceedings
Effectively communicates how the quantitative risk models work and explains the results to risk owners and the leadership team
Works closely with risk owners and stakeholders to accurately represent existing risks and benefits of control strategies
Leverages risk information to understand and challenge business decisions
Develop and coordinates presentation materials for various levels of management, including Executives and Board
Promotes data-driven decision-making, establishing a culture of risk quantification across the line of business
Requirements:
Bachelor’s Degree or equivalent experience
Seven years of experience in risk management, utility operations, and/or related field
Nice to have:
Experience in Python, Foundry, and data science
Excellent oral, communication, and facilitation skills
Ability to synthesize complex issues into easy-to-understand concepts
Ability to multi-task and meet critical deadlines while not sacrificing quality of work