Grid Modeling Leader and Market Analytics

Florida Power & Light

Juno Beach (FL)

On-site

USD 180,000 - 240,000

Full time

8 days ago
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Benefits offered by this job

Relocation provided

Job summary

NextEra Energy Marketing, LLC is seeking a senior lead for grid modeling and congestion analytics. You will own the technical roadmap, build market-simulation engines, and translate ISO tariffs and market rules into actionable modeling decisions.

You will partner with traders and senior stakeholders to define multi-year strategy, quantify congestion risk, and drive data-driven decisions across trading, risk, and settlement systems.

Qualifications

  • Bachelor’s degree in Electrical Engineering, Power Systems, Applied Math, Physics or related field.
  • 7+ years in ISO/RTO market modeling, congestion analytics, or power systems analysis.
  • Deep expertise in DC/AC power flow, contingency analysis, FTR/CRR/ARR markets, and settlement mechanics.
  • Proficiency with industry tools (PSS/E, PowerWorld, Dayzer, Enelytix/TARA, Enverus Mosaic/Panorama, YES Energy) and programming (Python, SQL).

Responsibilities

  • Provide thought leadership and set technical strategy for grid modeling and congestion analytics.
  • Explain methods and results to senior executives.
  • Develop machine learning, optimization, or modeling solutions.
  • Oversee related staff work and learn new techniques.
  • Document observations, analyses, and quantitative results clearly.

Skills

DC/AC power flow
Contingency analysis
Market modeling
Python
SQL
Stakeholder leadership

Education

Bachelor’s degree
Master’s or PhD preferred

Tools

PSS/E
PowerWorld
Dayzer
Enelytix/TARA
Enverus Mosaic/Panorama
YES Energy

Job description

NextEra Energy Marketing, LLC is seeking a senior lead for grid modeling and congestion analytics. You will own the technical roadmap, build market-simulation engines, and translate ISO tariffs and market rules into actionable modeling decisions.

You will partner with traders and senior stakeholders to define multi-year strategy, quantify congestion risk, and drive data-driven decisions across trading, risk, and settlement systems.

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