Associate Director - ERCOT Market Subject Matter Expert (Part-Time/ Contract)
ERCOT Market and Congestion Expertise
- Explain ERCOT nodal market design, settlement-point pricing, transmission congestion, and Locational Marginal Pricing components.
- Analyse binding transmission constraints, contingency conditions, shift-factor exposures, shadow prices, and historical binding hours.
- Support the identification of congestion caused by generation outages, renewable oversupply, load concentration, transmission outages, contingencies, and market participant behaviour.
- Interpret participant-level and aggregated bid-and-offer disclosures within the context of congestion and shadow-price formation.
Model and Data Support
- Work with the Graph ML team to define appropriate node, edge, transmission, market, and temporal attributes for the ERCOT network graph.
- Review the use of ERCOT transmission models, shift-factor matrices, contingency files, line ratings, outage feeds, market disclosures, and historical congestion information.
- Define a practical taxonomy for congestion-driver attribution.
- Support the separation and interpretation of physical and behavioural contributors to observed congestion.
- Help establish business rules, assumptions, thresholds, and domain constraints for model development.
Validation and Interpretation
- Validate model-generated congestion attributions against known historical events, including documented unit outages, transmission outages, curtailment events, and contingency-driven constraints.
- Review propagation paths and assess whether identified node and interface impacts are electrically and commercially plausible.
- Evaluate the accuracy and usefulness of model explanations, confidence scores, and shadow-price attribution.
- Participate in back-testing reviews and assist in comparing model performance against baseline approaches.
- Ensure that model outputs can be interpreted by market analysts without requiring advanced machine-learning knowledge.
Stakeholder Collaboration
- Collaborate with the client’s trading, analytics, and power-market teams during architecture reviews and validation checkpoints.
- Participate in regular working sessions with Nagarro ’s Graph ML engineers, data engineers, and project leadership.
- Present findings, assumptions, limitations, and recommendations in clear business and market terminology.
- Support risk identification and timely escalation of issues related to market data, modelling assumptions, or ERCOT-specific interpretation.
- Demonstrated professional experience working with the ERCOT wholesale electricity market , with a strong understanding of congestion modelling and nodal market operations.
- Practical knowledge of:
- Locational Marginal Pricing and congestion components
- Shift factors and transmission-interface exposure
- Binding constraints, contingencies, and constraint shadow prices
- Day-Ahead and Real-Time Market operations
- Generation, load, and transmission outages
- ERCOT bid-and-offer disclosures
- Congestion Revenue Rights and related market information
- Experience analysing historical congestion events and identifying the underlying physical, transmission, or market-behaviour drivers.
- Experience in one or more areas such as power-market trading, congestion analytics, forecasting, market simulation, production-cost modelling, power-flow analysis, or transmission-network modelling.
- Familiarity with ERCOT datasets, including network-model files, outage reports, market disclosures, constraint reports, and other publicly available market information.
- Ability to translate complex power-market concepts into clear requirements and validation criteria for data engineering, analytics, and machine-learning teams.
- Experience collaborating with data scientists, machine-learning engineers, trading teams, or advanced analytics stakeholders.
- Strong analytical, communication, and stakeholder-management skills.
- Exposure to nodal price forecasting, explainable AI, graph-based ana