Real-Time Power Trader & AI Optimizer

RWE

Chicago (IL)

On-site

USD 125,000 - 175,000

Full time

2 days ago
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Benefits offered by this job

Discretionary bonus
Relocation package

Job summary

RWE Supply & Trading Americas, LLC seeks a Real Time Power Trader to optimize the US portfolio via AI-enhanced analytics. The role emphasizes asset-backed, within-day and real-time trading across major nodal markets from Chicago, collaborating with Day-Ahead Traders, Analysts, Dispatch, and Asset Management.

Applicants should have a math/engineering/data science background with AI/ML experience and a solid grasp of PJM, ERCOT, MISO, SPP, CAISO or ISO-NE.

Qualifications

  • University degree in Mathematics, Economics, Engineering, Computer Science, or Data Science.
  • Experience with AI/ML, quantitative modeling or advanced data analytics.
  • Experience with Generative AI / Azure OpenAI and cloud analytics.
  • Experience in energy or gas trading with nodal markets (PJM, ERCOT, MISO, SPP, CAISO, ISO-NE).
  • Strong understanding of US power markets and real-time trading dynamics.

Responsibilities

  • Execute asset-backed within-day and real-time trading strategies across US nodal power markets.
  • Develop AI/ML 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.
  • Coordinate with Day-Ahead Traders, Analysts, Dispatch and Asset Management to optimize portfolio.
  • Support backtesting of trading strategies and compare with benchmarks.
  • Expand Short-Term Trading capabilities across additional US ISOs and markets.

Skills

AI/ML experience
Quantitative modeling
Data analytics
Trading experience
Energy markets knowledge

Education

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

Tools

Azure OpenAI

Job description

RWE Supply & Trading Americas, LLC seeks a Real Time Power Trader to optimize the US portfolio via AI-enhanced analytics. The role emphasizes asset-backed, within-day and real-time trading across major nodal markets from Chicago, collaborating with Day-Ahead Traders, Analysts, Dispatch, and Asset Management.

Applicants should have a math/engineering/data science background with AI/ML experience and a solid grasp of PJM, ERCOT, MISO, SPP, CAISO or ISO-NE.

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