Real Time Power Trader

RWE AG; Chicago (IL); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Discretionary bonus based on execution

Team-oriented culture with recognition

Job summary

RWE AG is seeking a Real Time Power Trader based in Chicago to maximize value across US generation and storage assets. You will blend real-time market expertise with AI-driven decision-making, collaborating with Day-Ahead Traders, Analysts, Dispatch and Asset Management.

Key responsibilities include executing real-time trading strategies, developing AI/ML tools, and monitoring market conditions, forecasts, and asset availability to optimize portfolio performance.

Qualifications

• Degree in a quantitative field with demonstrated analytical capability.
• Experience with AI/ML, quantitative modeling or advanced data analytics.
• Exposure to Generative AI / Azure OpenAI is a plus.
• Experience in energy or gas trading environments, with PJM/ERCOT/MISO/SPP/CAISO/ISO-NE exposure is preferred.

Responsibilities

• Execute asset-backed within-day and real-time trading strategies in US nodal markets.
• Develop and improve AI/ML models and tools for real-time market analysis and trading decisions.
• Identify market patterns and trading opportunities using AI and analytics.
• Manage trading risk and optimize portfolio positions as conditions change.
• Collaborate with Day-Ahead Traders, Analysts, Dispatch and Asset Management to translate strategies into real-time actions.

Skills

AI/ML

Quant modeling

Data analytics

US power markets knowledge

Strong communicator

Education

Bachelor's degree in Mathematics, Economics, Engineering, Computer Science, Data Science or related field

Job description

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The Real Time Power Trader will join a dynamic team responsible for maximizing the value of RWE’s growing portfolio of generation and storage assets across the US.

Our Short-Term Trading activities cover multiple nodal power markets, including ERCOT, PJM, MISO, SPP, NYISO, ISO-NE and CAISO. Based in downtown Chicago, this new role will be a key part of our expanding Short-Term Asset Optimization team.

The Real Time Power Trader is responsible for identifying and executing profitable opportunities in the real-time and real time markets while taking into account the physical characteristics, operational constraints and market positions of RWE’s assets.

The role combines real-time market expertise, asset-backed trading, quantitative analysis and AI-driven decision-making. Together with Day-Ahead Traders, Analysts, Dispatch and Asset Management, you will continuously optimize the portfolio as market conditions, forecasts and asset availability change.

AI is intended to become an integral part of how we optimize the US Short-Term portfolio — not a separate technology initiative.

Responsibilities

• Execute asset-backed within-day and real-time trading strategies across US nodal power markets.
• Develop, maintain and continuously improve AI/ML-driven models and analytical tools supporting real-time market analysis, forecasting and trading decisions.
• Use AI and advanced analytics to identify market patterns, trading opportunities and deviations from expected asset performance.
• Deploy trading capital based on data-driven insights while maintaining disciplined risk management.
• Continuously reassess positions and optimization strategies as market conditions change, while monitor real-time market conditions, including prices, load, generation, congestion, outages, weather and transmission conditions.
• Identify and capture real-time trading and optimization opportunities based on market movements, updated forecasts and asset availability.
• Work closely with Day-Ahead Traders and Analysts to translate Day-Ahead and Bal-Day strategies into real-time trading decisions.
• Support the continuous development and backtesting of trading strategies and evaluate their performance against relevant benchmarks.
• Contribute to expanding RWE’s Short-Term Trading capabilities across additional US ISOs and markets.

Your Powerful Skills

• University degree in Mathematics, Economics, Engineering, Computer Science, Data Science or a related field.
• Experience with AI/ML, quantitative modeling or advanced data analytics, ideally applied to trading, energy markets or asset optimization.
• Experience with Generative AI / Azure OpenAI, AI/ML model integration, enterprise data & analytics and cloud-based solutions is a plus.
• Experience in an energy or gas trading environment, preferably with exposure to PJM, ERCOT, MISO, SPP, CAISO or ISO-NE nodal markets.
• Strong understanding of US power markets, particularly Day-Ahead, Within-Day and Real-Time market dynamics.
• Understanding of the commercial optimization of wind, solar, battery storage and thermal generation assets, as well as electricity transmission, gas transportation and forecasting.
• Strong quantitative and analytical mindset with a clear focus on optimization, performance and value creation.
• Ability to translate large amounts of real-time data into clear, actionable trading decisions.
• Comfortable making decisions in highly dynamic and uncertain market situations.
• Self-confident and entrepreneurial approach, with the ability to take ownership and act decisively.
• Strong team player and excellent communicator, with the ability to work effectively across Trading, Dispatch, Asset Management, Risk and Technology.
• Proven ability to manage multiple priorities effectively in high-pressure environments.
• High degree of personal commitment, motivation, reliability and accountability.
• Ability to work independently while maintaining strong alignment with the broader trading and optimization team.

Benefits you can rely on

• Join an international leading energy trading house which is in a period of growth
• Find yourself in a motivating workplace that is built on mutual trust, values and a feedback culture with a positive and inspiring working atmosphere
• Discretionary bonus based on execution performance
• Team work, support and openness, visibility and recognition of own work

We look forward to meeting you!

We value diversity and therefore welcome all applications, irrespective of gender, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity. #inclusionmatters

Of course, you can find us on LinkedIn, Twitter and Xing, too.

RWE Supply & Trading is the interface between RWE and the energy markets around the world. Around 2,000 employees from over 70 different countries trade electricity, gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from RWE.