Altopenergy
Trade FTRs/CRRs across various ISO/RTO markets with a focus on speculative and hedging strategies.
Identify and capitalize on transmission congestion opportunities through deep analysis of power flows, constraints, and market structure.
Conduct forward-looking congestion modeling using production cost models and power flow analysis.
Continuously evaluate and optimize FTR portfolios based on market signals, auction design, and risk-adjusted returns.
Collaborate with fundamental analysts, data scientists, and developers to refine models and enhance trading infrastructure.
Monitor ISO policy changes, auction mechanics, and topology updates to adjust trading strategies.
Qualification:
Minimum 4 years of direct experience trading FTRs/CRRs in US nodal power markets (e.g., PJM, ERCOT, MISO, SPP). Proven track record of generating consistent P&L from FTR trading within defined risk limits. Deep understanding of ISO-specific auction formats (monthly, annual, seasonal) and congestion settlement processes. Strong power systems knowledge, including transmission topology and congestion modeling. Proficiency with tools such as Powerworld, Promod, Dayzer, or similar production cost and power flow modeling software. Strong programming/data skills in Python, SQL, R, or C#. Bachelor’s degree in Engineering, Economics, Mathematics, or a related field (Master’s preferred). Self-motivated, detail-oriented, and able to work both independently and as part of a team in a high-performance environment. Location:
Houston in preferred but Remote is option if enough experience is demonstrated How to Apply
To apply, Please email your CV and cover letter to recruitment@altopenergy.com or complete the form below.
#J-18808-Ljbffr
Minimum 4 years of direct experience trading FTRs/CRRs in US nodal power markets (e.g., PJM, ERCOT, MISO, SPP). Proven track record of generating consistent P&L from FTR trading within defined risk limits. Deep understanding of ISO-specific auction formats (monthly, annual, seasonal) and congestion settlement processes. Strong power systems knowledge, including transmission topology and congestion modeling. Proficiency with tools such as Powerworld, Promod, Dayzer, or similar production cost and power flow modeling software. Strong programming/data skills in Python, SQL, R, or C#. Bachelor’s degree in Engineering, Economics, Mathematics, or a related field (Master’s preferred). Self-motivated, detail-oriented, and able to work both independently and as part of a team in a high-performance environment. Location:
Houston in preferred but Remote is option if enough experience is demonstrated How to Apply
To apply, Please email your CV and cover letter to recruitment@altopenergy.com or complete the form below.
#J-18808-Ljbffr