Real-Time Power Trader: AI-Driven Market Optimizer

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

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.