Principal Quant, Grid Modeling & Congestion Analytics
Juno Beach, FL, US, 33408
USD 110K-156K (estimate) Senior-level Full Time
Tasks
- Architect market simulation engines
- Back test models against historical DA RT outcomes
- Define modeling standards numerical methods validation tests
- Design DC AC power flow and contingency models
- Design stress scenarios for extreme congestion and renewables
- Develop analytical frameworks for grid topology outages and economic dispatch
- Integrate risk analytics systems and data pipelines
- Lead scenario analysis and stress testing
- Maintain model governance and documentation
- Mentor analysts on quantitative methods and Python
- Model flowgates and interface constraints
- Perform risk model innovation and integration
- Quantify congestion price formation impacts
- Quantify model risk and uncertainty
- Replicate ISO clearing logic across scenarios
- Serve as technical authority for FTR ARR CRR auction modeling assumptions
- Transform ISO data feeds into model ready representations
- Validate ISO dispatch and contingency logic
- Write production quality analytical code in Python
Perks/Benefits
Skills/Tech-stack
AC Power Flow | AC power | ARR | Auction Modeling | Backtesting | CRR | Congestion Analytics | Contingency analysis | DC Power Flow | DC power | Data Pipelines | Data Transformation | Economic Dispatch | FTR | ISO RTO Market Mechanics | ISO/RTO) | Market Mechanics | Market simulation | Model Validation | Model risk | Nodal pricing | Numerical Methods | Power Flow | Power Systems | Python | SQL | Security constrained economic dispatch | Shadow Pricing | Stress Testing | Uncertainty Quantification | Unit commitment
Education
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