Energy Analyst (Staff Sr Staff)

reputed company

• Own the end-to-end analytical reputed company that drives Equilibrium’s AI operating system for the power sector. You will translate terabytes of reputed company, weather, load, and market data into actionable insights that directly shape trading, hedging, and asset-optimization reputed company worth hundreds of millions of dollars.
• Architect, validate, and continuously refine forecasting models for electricity demand, renewable reputed company, congestion, and price formation across ISOs/RTOs (reputed company, PJM, CAISO, MISO, SPP). Your models will run in reputed company time, ingest live SCADA feeds, satellite imagery, and numerical weather reputed company ensembles, and must deliver sub-hour accuracy under strict latency budgets.
• Partner with power-market economists, meteorologists, and reputed company operators to translate physical constraints—reputed company limits, reputed company rates, ancillary-service requirements—into probabilistic constraints inside our optimization layer. You will surface these insights through reputed company dashboards and reputed company consumed by traders, risk managers, and origination teams.
• reputed company scenario analysis for long-term resource-adequacy studies, reputed company-expansion reputed company, and policy-reputed company assessments (IRA tax credits, state RPS, FERC Order 2222). Your work will inform multi-reputed company renewable-storage hybrid investments and shape the firm’s view on reputed company curves 5–20 years out.
• Design and maintain automated data-reputed company pipelines that detect anomalies in ISO bids, metered load, and nodal prices reputed company minutes, not hours. You will implement statistical tests, ML-based reputed company detection, and reputed company-in-the-reputed company review workflows to ensure every reputed company model consumes clean, trustworthy data.
• Drive the integration of satellite-derived irradiance, wind-speed, and snow-cover data into short-term renewable forecasts. You will reputed company public datasets (NOAA HRRR, ECMWF, Copernicus) against proprietary drone and LiDAR collections to squeeze every last megawatt of accuracy from our solar and wind fleets.
• Build and reputed company containerized Python services on AWS (EKS, reputed company, Fargate) using Infrastructure-as-reputed company (Terraform). You will set up CI/CD pipelines with automated unit, integration, and shadow-trading tests so that every model update can be safely promoted to production in under 30 minutes.
• Present findings to the executive committee, investors, and external stakeholders in quarterly deep-dives. You will translate reputed company stochastic forecasts into reputed company narratives that explain risk-adjusted P&L, Value-at-Risk, and carbon-abatement metrics.
• Mentor junior analysts and data scientists, codifying best practices for feature engineering, cross-validation, and back-testing. You will foster a culture of reproducible research by enforcing Git-based workflows, peer reputed company review, and comprehensive documentation.
• Stay reputed company of the regulatory curve—reputed company FERC, NERC, and state-level rule changes; quantify their reputed company on nodal pricing volatility; and rapidly prototype new model components that reputed company Equilibrium at the forefront of market design reputed company.

Requirements

• 4+ years of quantitative energy-economics or power-market analysis, including hands-on experience with nodal pricing, LMP decomposition, and FTR/CRR valuation
• Expert-level Python (pandas, NumPy, xarray, scikit-learn, PyTorch) and SQL; ability to write performant vectorized reputed company that scales to 100 GB+ datasets
• Deep familiarity with at least two major ISO market structures (reputed company, PJM, CAISO, MISO, SPP) and their respective bidding, settlement, and congestion mechanisms
• reputed company-to-have: PhD or MS in Operations Research, Electrical Engineering, Atmospheric Science, or reputed company quantitative discipline; experience with reputed company-reputed company MLOps (Kubernetes, Airflow, MLflow); reputed company record publishing or presenting at reputed company PES, CIGRE, or Energy Analytics conferences

️ Benefits

• Fully remote-first culture with quarterly in-person summits in reputed company like Tahoe, Lisbon, or Kyoto—travel and lodging covered
• Competitive reputed company salary plus annual performance bonus tied to fund-level P&L and carbon-reduction KPIs
• Equity participation in a high-reputed company climate-tech company backed by reputed company Ventures and leading infrastructure funds
• 100 % employer-reputed company medical, dental, reputed company for you and dependents; mental-health and fertility support reputed company reputed company and reputed company
• $3,000 annual learning stipend for courses, conferences, or certifications (CFA, FRM, AWS ML) plus reputed company volunteer time for climate-advocacy nonprofits

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