Principal Quant, Grid Modeling & Congestion Analytics

NextEra Energy

About The Position

NextEra Energy Marketing is one of the nation’s leading electricity and natural gas marketers, and a key player in the energy markets in the United States and Canada. As a part of NextEra Energy Resources, we specialize in innovative energy strategies that maximize market value for our customers and stakeholders. Our team is skilled in market analysis, trading, risk management and delivering tailored customer solutions across North America. If you are a strategic thinker eager to make a significant impact in the fast-paced energy industry, join our team today. The Principal Quant role is the senior-most individual contributor responsible for the mathematical and computational integrity of the trade floor’s grid and congestion models. The Principal Quant owns the most complex modeling problems linking physical grid behavior, ISO dispatch logic, congestion-driven price formation, and FTR/ARR auction modeling mechanisms, ensuring these models are quantified, scalable, and applicable for decision support.

Requirements

Bachelor’s degree (Master’s or PhD preferred) in Electrical Engineering, Power Systems, Applied Math, Physics, Computer Science, or related field.
5+ years of progressive experience in ISO/RTO market modeling, congestion analytics, or power systems analysis.
Deep, practical understanding of DC/AC power flow and contingency analysis, ISO/RTO market mechanics, nodal pricing, congestion, and FTR/CRR/ARR mechanics.
Proficiency with industry tools (e.g., PSS/E, PowerWorld, Dayzer, Enelytix/TARA, Enverus Mosaic/Panorama, YES Energy or similar) and strong programming skills (Python, SQL, etc.).
Exceptional programming and numerical modeling skills; strong ownership mindset and ability to work independently.

Nice To Haves

Operational experience in ERCOT and/or PJM markets.
Experience collaborating with congestion trade desks.

Responsibilities

Design, implement, and validate DC/AC power flow and contingency models that reflect real ISO dispatch, contingency logic, and constraint management practices; real-world experience in PJM or ERCOT is a plus.
Build and maintain high-fidelity representations of flowgates, interface constraints, thermal and voltage limits impacting DA/RT markets and FTR/CRR/ARR outcomes.
Develop analytical frameworks that connect: (1) grid topology and outages; (2) security-constraint economic dispatch/unit commitment; (3) binding constraints and shadow prices; (4) DA/RT price separation and FTR/CRR/ARR outcomes.
Serve as technical authority on ARR/FTR/CRR auction modeling assumptions, sensitivities, and failure modes.
Architect and maintain market simulation engines that replicate ISO clearing logic under numerous of topology, load, generation, and outage scenarios.
Perform rigorous back-testing against historical DA/RT outcomes, identifying where models break, why, and how to correct the model or bias decisions.
Quantify model risk and uncertainty: sensitivity to topology errors or forced outages, limiting assumptions, forecast noise, and rule interpretations.
Design stress scenarios for extreme congestion, renewable saturation, transmission expansion/degradation, policy or tariff changes.
Own the transformation of ISO and other internal data feeds into model-ready representations.
Write production-quality analytical code that scales across years of historical data, supports scenario analysis, and integrates cleanly into current trading systems.
Define modeling standards, numerical methods, and validation tests with documentation so that results are explainable and defensible.