To lead the risk analysis and quantification efforts for all Power Generation risks and execute the transition to a new risk management framework that is integrated across the organization
Requirements
Excellent Excel auditing
Implementation of Python codes
Foundry code repository
Experience in PySpark
Program experience with Python and Github
Experience in visualization tools and techniques
Refined visualization skills for communicating risk quantification results and progress
Responsibilities
Lead development and maintenance of quantitative risk models
Deliver in-depth data analysis using Python or Foundry platform
Develop and coordinate presentation materials for various levels of management
Assist in the development and management of Power Generation's Risk Register
Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques
Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies
Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering
Other
Organized, technically oriented, can grasp concepts quickly, and adapt to new information
Ability to effectively communicate how the quantitative risk models work and explain the results to risk owners and the leadership team
Ability to synthesize complex issues into easy-to-understand concepts
Good oral and communication skills
Experience building relationships across multiple functions and facilitating the decision-making process
