Quantitative Scientist
New
E
Equilibrium EnergyClean Energy
Remote USFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 2+ years experience in quantitative research & analytics or systematic financial trading
- Required Skills
- PythonSQLMachine LearningData science
Requirements
- Degree in computer science, data science, machine learning, AI, operations research, engineering, or related field.
- 2+ years experience in quantitative research & analytics or systematic financial trading in US Power Markets.
- 2+ years experience with Python and computational tool suite (numpy, scipy, pandas, scikit-learn, tensorflow).
- Experience in the electricity and energy domain (wholesale market prices).
- Experience developing, releasing, and tracking performance of quantitative trading strategies in production.
- Experience communicating mathematical concepts and analytical results to diverse audiences.
- Collaboration-first mentality and willingness to teach/mentor.
- Passion for clean energy and climate change.
Responsibilities
- Use research insights to shape product direction and deliver innovative client solutions.
- Influence product and engineering roadmaps through research insights and backtest metrics.
- Initiate and lead cross-functional engagements for advanced quantitative analytics and machine learning.
- Investigate trading performance to drive continuous strategy improvement.
- Research, develop, backtest, and deploy quantitative trading signals and strategies.
- Identify sources of trading alpha using energy datasets.
- Lead short to medium-term research projects in energy asset management.
- Identify, recruit, train, and mentor members of the trading analyst team.
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