Search Jobs
Contact Us
Analyst, Natural Gas & Power Fundamental Analysis
1000 Main Street STE 3100 Houston, TX 77002 US | Work from home flexibility TELECOMMUTE US
Job Description
Responsibilities include:
- Conduct fundamental research, modeling, and analysis for conventional and renewable energy power plants (PJM, NYISO, NEISO, ERCOT).
- Run PLEXOS dispatch modeling and BI reporting tools.
- Develop short and long-term regional supply and demand models, focusing on a 5-20-year modeling horizon that supports forward margin analysis and PPA / M&A activity.
- Provide internal points of view on key fundamental drivers of the East and ERCOT power markets. Ad hoc analysis on CAISO and MISO.
- Track market rule changes, plant retirements, new builds, transmission upgrades, near-term demand, and fuel prices.
- Provide power price forecasts, market drivers, and related congestion impacts.
- Develop a corresponding understanding of the fundamentals including supply, demand and infrastructure for the natural gas markets.
- Analyze forward curves for natural gas & power trading and business development.
- Monitor industry regulations, writing/ presenting white papers to key stakeholders.
Professional and Educational Requirements:
- A bachelor's degree in a business discipline with an advanced degree preferred.
- Minimum 1-5+ years of professional experience in power fundamental modeling for the North American power markets at a utility, IPP, merchant trading firm, or energy consulting firm (highly desired).
- Consideration will be given to candidates with 1-5+ years of professional experience in natural gas modeling in North America (ideally Gulf Coast or east/northeast focus).
- Desire to be a part of a high-performing and analytical team.
- An understanding of the fundamentals of North American natural gas and/or power supply/demand and infrastructure.
- Experience with one or more markets: CAISO, ERCOT, MISO, NEISO, NYISO, PJM or SPP.
- Experience with market dispatch software, including PLEXOS, AURORA, DAYZER, GE-MAPS, PROMOD, PSO, or similar software packages.
- Model-building skills; experienced with analytical and data manipulation applications.
- Experience with at least one programming language generally used in financial models, such as VBA, MATLAB, Python, R, SAS, etc. (Python highly desired).
Employees work three days in the office and two remotely.