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Flexible Work Arrangement:

Hybrid or Remote• PJM Interconnection seeks a highly analytical and detail-oriented Quantitative Analyst to join the Model Validation team. This role supports the integrity of PJM's market-clearing and reliability models by conducting independent validations, performance testing, and analytical reviews of models used in the Electricity Energy markets.

Essential Functions:

Validate stochastic and deterministic models related to energy market forecasting, price formation, reliability assessment, capacity planning and risk management. Develop and implement statistical testing and back-testing frameworks to assess model accuracy, stability, and robustness. Collaborate with modeling teams to ensure models adhere to internal governance frameworks, regulatory standards (e.g., FERC, NERC), and best practices. Analyze large datasets using Python or R to support validation work, identify anomalies, and recommend improvements. Document validation procedures, assumptions, test results, and model limitations in compliance with PJM's Model Risk Management standards. Assist in stress testing, scenario analysis, and performance monitoring for models. Communicate findings to senior management, model developers, and stakeholders. Stay abreast of changes in market design, statistical methods, machine learning techniques, and regulatory guidance affecting model use.

Characteristics & Qualifications:

Required:

Master's Degree in Statistics, Engineering, Economics, Mathematics or equivalent work experience Ability to produce high-quality work products with attention to detail Experience in quantitative and qualitative analysis Ability to use mathematical and electrical theory Ability to troubleshoot and provide technical support

Preferred:

PhD. in Statistics, Engineering, Economics, Mathematics or equivalent work experience Experience with PJM operations, markets, and planning functions Experience using PSS/e (power system analysis program)