Sr. (Lead) Engineer I (II)

Flexible Work Arrangement: Hybrid Sr. (Lead) Engineer is responsible for overseeing PJM's quantitative analytical efforts to support trade and credit risk functions. Essential Functions Quantitative analytical support for the identification and quantification of risk exposure. Provide quantitative analytical support to identify Market Participant trade‑related risk exposure in relation to PJM manuals and governing documents. Provide quantitative analytical support to identify potential increased risk associated with electric grid, transmission, generation and power flow. Forecast Market Participant exposures that impact collateral requirement. Forecast forwards price utilizing advanced analytical techniques such as Monte Carlo Price Simulations and historical event–based scenario analysis to assess potential future exposure and collateral needs. Configure and run commercially available forecasting models, such as PSSE and Dayzer, to capture potential future shocks from fundamental energy market price drivers. Conduct in‑depth fundamental analysis of the power system, Day‑Ahead/Real‑Time markets, and Financial Transmission Rights (FTR) markets to generate actionable intelligence, identify emerging vulnerabilities, and support strategic initiatives. Oversee the development and maintenance of comprehensive dashboard reporting, drive data mining and processing initiatives, and explore and implement opportunities for automation to enhance efficiency and accuracy. Collaborate effectively with risk‑management leadership and cross‑functional teams to provide expert guidance on strategic change impacts. Communicate complex analytical findings clearly and concisely to both technical and non‑technical audiences, including executive leadership. Provide technical leadership and mentorship to junior analysts, fostering their development and ensuring the continued advancement of analytical capabilities within the team. Technical skills: Production Cost Simulation Software, Statistical Software, Programming Languages (Python). Required Characteristics and Qualifications Bachelor's degree in Engineering or Electrical Engineering, or Master's degree in Engineering, Math, Economics or another related field, and at least 10 years of work experience. At least 5 years of experience in qualitative and quantitative analysis. 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 Ph.D. in Economics, Mathematics, or Engineering. At least 5 years of experience in the Energy industry; knowledge of PJM markets ideal; experience using statistical tools such as SAS, MATLAB and production‑cost tools such as PROMOD, PLEXOS, PROBE. Adept in strategic/forward thinking. Experience with PJM operations, markets, and planning functions. Experience using PSS/e (power system analysis program). #J-18808-Ljbffr