Sr. Manager, Energy Market Analytics & Forecasting
A
Antora EnergyThermal Energy Storage
Remote, US. Bay Area or Midwest preferred.Full-TimeManager
Salary190000 - 225000 USD per year
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Job Details
- Experience
- 7 - 10+ years
- Required Skills
- PythonSQL
Requirements
- 7 - 10+ years in energy markets with substantial depth in power market analytics and energy storage dispatch
- Experience with operating assets and/or virtual bidding in wholesale electricity markets
- Deep familiarity with ISO market structures across at least two of PJM, MISO, or SPP
- Hands-on experience with LMP forecasting
- Experience with production cost or capacity expansion tools (Encompass, Plexos, Aurora, PROMOD)
- Experience producing and defending market views or technology economics to energy traders, utilities, data center operators, financiers, or regulators
- Proficient in Python and SQL for prototyping and analysis
- Experience managing forecast vendors, market consultants, or third-party study processes
- Comfortable with AI and automation tools as part of an analytical workflow
- Strong communicator who moves fluently between technical, commercial, and financial audiences
Responsibilities
- Own long-term LMP forecasts for power projects and power-to-heat projects; maintain Antora’s house view on power price trends, charging costs, and arbitrage value across priority markets.
- Lead ELCC modeling across ISOs and own Antora’s position on capacity value for thermal storage.
- Develop and maintain views on ancillary services participation and value for Antora’s technology.
- Build and maintain analytical models or manage external consultants/internal team members to build models that inform project valuation, deal structuring, and product design.
- Develop market participation strategies across ISOs: capacity accreditation, ancillary services qualification, energy market positioning.
- Track and model the implications of changes to energy, capacity, and ancillary services market rules across priority ISOs.
- Represent Antora’s views internally and externally on capacity value, energy value, and technology economics to data center operators, utilities, and project financiers.
- Equip the origination team with market-specific analytics, models, and competitive positioning.
- Direct data scientist and software engineer peers: set priorities, define what to build, and identify where automation and tooling eliminate manual analysis.
- Manage relationships with forecast vendors, power market consultants, and third-party study collaborators.
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