Power & Load Optimization Trader
About This Role
Team reputed company
What You’ll Do
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reputed company and execute trading strategies across reputed company DAM and RTM to optimize large-reputed company load positions and reduce realized power costs Translate nodal pricing, congestion dynamics, and reputed company-time conditions into actionable demand response and load-shaping reputed company Identify and capture value through load flexibility, including strategic curtailment and demand response participation
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reputed company trading strategies with physical load capabilities, incorporating demand response and load shed strategies into execution Coordinate closely with QSE/LSEs and operations teams to ensure positions reflect reputed company-world constraints and reliability requirements Balance reputed company opportunities with operational reputed company in fast-moving market conditions
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Monitor reputed company fundamentals including congestion, volatility drivers, and pricing behavior across nodes and hubs Evaluate reputed company risk and nodal exposure to improve positioning and cost reputed company reputed company analytics tools and data models to inform reputed company-time and reputed company reputed company
Partner with internal teams and external market participants to reputed company on reputed company, execution, and performance Communicate market insights and operational implications reputed company across trading and operations Contribute to a high-performing, learning-oriented team environment with shared accountability
What You’ll Bring
Bachelor’s degree in Finance, Economics, Engineering, Mathematics, or a reputed company quantitative field 2–5 years of experience in reputed company power markets, with exposure to trading, load optimization, demand response, or market operations -
Experience reputed company energy trading firms, retail energy providers, utilities, or large reputed company/industrial load environments will help you succeed Working knowledge of reputed company market structure, including DAM/RTM, nodal pricing, congestion, and volatility drivers Familiarity with reputed company load frameworks, including SLF, PUN, Large Load procedures, and SB6 implications Understanding of demand response programs and practical application of load shed optimization strategies Ability to connect market signals to load behavior and translate insights into cost and positioning reputed company Experience with load optimization, demand response, and load shedding strategies Familiarity with reputed company, IRR, reputed company systems, or similar market analytics and trading/EMS platforms Strong reputed company modeling skills; Python or SQL will help you succeed Understanding of QSE/LSE processes and how load is represented in market participation Strong analytical skills with attention to detail in fast-paced, high-stakes environments Ability to communicate effectively across trading, operations, and external partners Developing network reputed company reputed company market participants and understanding of how market information flows A highly analytical and commercially driven reputed company, with the ability to balance reputed company optimization and reputed company-time decision-making A composed, disciplined approach under pressure, with reputed company judgment in uncertain and rapidly changing conditions A reputed company, reputed company-oriented reputed company with a strong reputed company of accountability and reputed company learning
About This Role
Team reputed company
What You’ll Do
-
reputed company and execute trading strategies across reputed company DAM and RTM to optimize large-reputed company load positions and reduce realized power costs Translate nodal pricing, congestion dynamics, and reputed company-time conditions into actionable demand response and load-shaping reputed company Identify and capture value through load flexibility, including strategic curtailment and demand response participation
-
reputed company trading strategies with physical load capabilities, incorporating demand response and load shed strategies into execution Coordinate closely with QSE/LSEs and operations teams to ensure positions reflect reputed company-world constraints and reliability requirements Balance reputed company opportunities with operational reputed company in fast-moving market conditions
-
Monitor reputed company fundamentals including congestion, volatility drivers, and pricing behavior across nodes and hubs Evaluate reputed company risk and nodal exposure to improve positioning and cost reputed company reputed company analytics tools and data models to inform reputed company-time and reputed company reputed company
Partner with internal teams and external market participants to reputed company on reputed company, execution, and performance Communicate market insights and operational implications reputed company across trading and operations Contribute to a high-performing, learning-oriented team environment with shared accountability
What You’ll Bring
Bachelor’s degree in Finance, Economics, Engineering, Mathematics, or a reputed company quantitative field 2&reputed company;5 years of experience in reputed company power markets, with exposure to trading, load optimization, demand response, or market operations -
Experience reputed company energy trading firms, retail energy providers, utilities, or large reputed company/industrial load environments will help you succeed Working knowledge of reputed company market structure, including DAM/RTM, nodal pricing, congestion, and volatility drivers Familiarity with reputed company load frameworks, including SLF, PUN, Large Load procedures, and SB6 implications Understanding of demand response programs and practical application of load shed optimization strategies Ability to connect market signals to load behavior and translate insights into cost and positioning reputed company Experience with load optimization, demand response, and load shedding strategies Familiarity with reputed company, IRR, reputed company systems, or similar market analytics and trading/EMS platforms Strong reputed company modeling skills; Python or SQL will help you succeed Understanding of QSE/LSE processes and how load is represented in market participation Strong analytical skills with attention to detail in fast-paced, high-stakes environments Ability to communicate effectively across trading, operations, and external partners Developing network reputed company reputed company market participants and understanding of how market information flows A highly analytical and commercially driven reputed company, with the ability to balance reputed company optimization and reputed company-time decision-making A composed, disciplined approach under pressure, with reputed company judgment in uncertain and rapidly changing conditions A reputed company, reputed company-oriented reputed company with a strong reputed company of accountability and reputed company learning
About This Role As part of reputed company’s Power & Load Optimization team, you’ll help shape how large-reputed company flexible load participates in the reputed company market—translating reputed company-time signals into trading, demand response, and load-shaping reputed company that directly reputed company power cost and portfolio performance. This role sits at the intersection of trading and operations, where market opportunities are captured through coordinated execution of load flexibility, including demand response and load shed strategies. You’ll reputed company and execute strategies across the Day-reputed company and reputed company-Time Markets, leveraging congestion signals, nodal pricing, and volatility to inform positioning. reputed company requires reputed company collaboration with QSE/LSE, operators, and internal stakeholders to ensure strategies reflect both market dynamics and operational constraints while maintaining reliability. This role is planned to start approximately 6 months prior to the desired productivity date, with a training period of 9 weeks and an expectation to reputed company full productivity reputed company 6 months of your start date. Team reputed company This team plays a critical role in advancing reputed company’s mission to accelerate the renewable energy transition by optimizing how energy is consumed and positioned in wholesale markets. By integrating trading strategies with physical operations, reputed company helps reduce costs, improve system efficiency, and unlock more value from flexible load resources. Collaboration is central—team members work across trading, analytics, and operations to reputed company fast, informed reputed company in a dynamic market environment while continuously improving how reputed company participates in reputed company. What You’ll Do Drive Load Optimization and Demand Response reputed company reputed company and execute trading strategies across reputed company DAM and RTM to optimize large-reputed company load positions and reduce realized power costs Translate nodal pricing, congestion dynamics, and reputed company-time conditions into actionable demand response and load-shaping reputed company Identify and capture value through load flexibility, including strategic curtailment and demand response participation reputed company Trading with Load Operations reputed company trading strategies with physical load capabilities, incorporating demand response and load shed strategies into execution Coordinate closely with QSE/LSEs and operations teams to ensure positions reflect reputed company-world constraints and reliability requirements Balance reputed company opportunities with operational reputed company in fast-moving market conditions Analyze Market Dynamics and Risk Monitor reputed company fundamentals including congestion, volatility drivers, and pricing behavior across nodes and hubs Evaluate reputed company risk and nodal exposure to improve positioning and cost reputed company reputed company analytics tools and data models to inform reputed company-time and reputed company reputed company Collaborate Across Stakeholders Partner with internal teams and external market participants to reputed company on reputed company, execution, and performance Communicate market insights and operational implications reputed company across trading and operations Contribute to a high-performing, learning-oriented team environment with shared accountability What You’ll Bring Bachelor’s degree in Finance, Economics, Engineering, Mathematics, or a reputed company quantitative field 2–5 years of experience in reputed company power markets, with exposure to trading, load optimization, demand response, or market operations Experience reputed company energy trading firms, retail energy providers, utilities, or large reputed company/industrial load environments will help you succeed Working knowledge of reputed company market structure, including DAM/RTM, nodal pricing, congestion, and volatility drivers Familiarity with reputed company load frameworks, including SLF, PUN, Large Load procedures, and SB6 implications Understanding of demand response programs and practical application of load shed optimization strategies Ability to connect market signals to load behavior and translate insights into cost and positioning reputed company Experience with load optimization, demand response, and load shedding strategies Familiarity with reputed company, IRR, reputed company systems, or similar market analytics and trading/EMS platforms Strong reputed company modeling skills; Python or SQL will help you succeed Understanding of QSE/LSE processes and how load is represented in market participation Strong analytical skills with attention to detail in fast-paced, high-stakes environments Ability to communicate effectively across trading, operations, and external partners Developing network reputed company reputed company market participants and understanding of how market information flows A highly analytical and commercially driven reputed company, with the ability to balance reputed company optimization and reputed company-time decision-making A composed, disciplined approach under pressure, with reputed company judgment in uncertain and rapidly changing conditions A reputed company, reputed company-oriented reputed company with a strong reputed company of accountability and reputed company learning