Senior Asset Risk Modeling Analyst

PG&E

Danville (CA)

Hybrid

USD 122,000 - 194,000

Full time

8 days ago

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Job summary

PG&E is seeking an experienced professional in a hybrid role to advance risk-informed decision making for transmission, distribution, and generation assets. You will develop advanced modeling approaches, implement scalable risk analyses, and collaborate across data governance and technology teams to improve asset reliability and lifecycle planning.

The role requires a strong background in statistics, machine learning, and quantitative evaluation, with senior-level experience in risk analytics

Qualifications

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

Responsibilities

Develop risk metrics, PoF methodologies, and scenario analyses to quantify asset risk and support risk-informed decision making.
Develop statistical, probabilistic, and machine learning models for asset condition assessment, degradation analysis, PoF estimation, and risk quantification.
Implement tools and processes to improve the quality, consistency, and timeliness of asset risk analyses, model outputs, and reporting.
Design analytical and diagnostic tools to ensure accurate, timely, and scalable computation of risk metrics and support asset health and reliability assessments.
Work with data governance, controls, and technology teams to streamline risk-modeling processes, eliminate manual steps, and ensure reliable model execution and data quality.
Diagnose model, metric, or process issues and make recommendations for remediation and continuous improvement.
Perform reviews of models developed by other coworkers and teams to ensure technical rigor, defensibility, transparency, and adherence to model governance standards.
Perform stress testing, sensitivity analyses, and scenario assessments to evaluate the impact of environmental, operational, and asset condition factors on infrastructure reliability and risk.
Assess and report on the performance, effectiveness, and predictive accuracy of risk models and analytical methodologies.
Develop and maintain PoF models for transmission, distribution, and other utility assets using asset condition, inspection, operational, environmental, and historical performance data.
Quantify uncertainty in model outputs and communicate asset risk insights, failure drivers, and model results to asset management, engineering, and operational stakeholders.