Apply📍 San Francisco, Boston, London
🧭 Full-Time
🔍 Clean energy
- Passion for clean energy and fighting climate change.
- An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline.
- 6+ years experience in quantitative research & analytics, automated systematic financial trading, or similar role in the US Power Markets.
- 4+ years experience with Python and computational science tools (e.g., numpy, scipy, pandas, scikit-learn, tensorflow).
- Experience in electricity and energy domain, developing and tracking quantitative trading strategies, and communicating analytical results.
- Use research insights to shape product direction through engaging, prioritizing, and structuring complex challenges for trading impact.
- Investigate factors influencing trading performance to drive continuous strategy improvement and educate the team.
- Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain.
PythonArtificial IntelligenceMachine LearningNumpyStrategyData sciencePandasTensorflowCollaborationC (Programming language)
Posted 2024-08-23
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