Virtuals Trading Analyst

Virtuals Trading Analyst (PJM & MISO) Location: Tri-State Area (NY/NJ/CT) Experience: 1-7 Years Industry: Power Trading / Energy Markets About the Role Our client is seeking a Virtuals Trading Analyst to join a growing power trading team focused on the PJM and MISO markets. This individual will work closely with traders and quantitative analysts to identify, develop, and execute profitable virtual trading strategies, leveraging market fundamentals, transmission analysis, congestion forecasting, and statistical modeling.This is an excellent opportunity for candidates with a strong understanding of organized power markets who are looking to deepen their exposure to real-time and day-ahead trading, market analytics, and portfolio optimization. Key Responsibilities Support and execute virtual trading strategies across PJM and MISO markets.Analyze day-ahead and real-time market dynamics, congestion patterns, and price spreads.Develop and maintain forecasting models for load, congestion, pricing, transmission outages, and generation.Monitor ISO market conditions and identify opportunities to improve trading performance.Conduct research on market rules, transmission constraints, and evolving market structures.Work alongside traders to generate actionable trade recommendations and improve existing strategies.Utilize large datasets to evaluate historical performance and uncover market inefficiencies.Build dashboards, reports, and analytical tools to support daily trading decisions.Perform post-trade analysis and strategy performance reviews.Stay informed on regulatory, operational, and market developments affecting PJM and MISO. Qualifications Bachelor's degree in Finance, Economics, Engineering, Mathematics, Statistics, Computer Science, Energy Management, or a related field.1-7 years of experience within power markets, energy trading, virtual trading, market analytics, scheduling, or quantitative analysis.Knowledge of PJM and/or MISO market structures, including day-ahead and real-time market operations.Strong analytical and quantitative skills with the ability to interpret large datasets.Proficiency in Python, SQL, R, MATLAB, or similar analytical tools.Experience with power market data platforms such as Yes Energy, Hitachi Ventyx, ABB Velocity, PowerWorld, or similar is preferred.Understanding of transmission congestion, nodal pricing, and generation economics.Strong communication skills and the ability to work in a fast-paced trading environment. Preferred Experience Prior experience supporting or executing virtual trading strategies.Familiarity with congestion forecasting and transmission flow analysis.Experience developing statistical or machine learning models for power market forecasting.Exposure to fundamental power market drivers, including weather, load, generation, fuel markets, and transmission outages.