Real Time Power Trader

RWE Gruppe; Chicago, Northern (IL, KY); Hybrid; USD 125,000 - 175,000; Full time

Benefits offered by this job

Discretionary bonus

Relocation package

International trading culture

Job summary

RWE Supply & Trading Americas, LLC in Chicago is seeking a Real Time Power Trader to optimize the value of a growing US portfolio. The role blends real-time market analysis, asset-backed trading and AI-driven decision-making to maximize returns across nodal markets.

The successful candidate will build AI/ML models, analyze market data from ERCOT, PJM, MISO, SPP, NYISO, ISO-NE and CAISO, and work with Day-Ahead Traders, Analysts and Asset Management to continuously improve portfolio performance.

Qualifications

• 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.

Responsibilities

• Execute asset-backed within-day and real-time trading strategies across US nodal power markets.
• Develop, maintain and improve AI/ML-driven models and analytical tools for real-time market analysis and trading decisions.
• Use AI and analytics to identify market patterns and trading opportunities.
• Deploy trading capital with disciplined risk management.
• Monitor real-time market conditions and adjust positions as needed.
• Translate Day-Ahead strategies into real-time trading decisions.
• Backtest trading strategies and evaluate performance versus benchmarks.
• Contribute to expanding trading capabilities across US ISOs and markets.

Skills

AI/ML experience

Power markets knowledge

Mathematics/Economics/Engineering

Python/Data science

Team collaboration

Communication

Education

University degree in Mathematics, Economics, Engineering, Computer Science, Data Science

Tools

Azure OpenAI

Job description

RWE Supply & Trading Americas, LLC

To start as soon as possible

Your future plans

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
• Salary: $125,000 - $175,000
• Relocation package available

Any questions? Vincent Manning, E: [e-mail] (Recruiting)

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.