Quantitative Scientist (staff / Sr Staff) - Power Markets
Equilibriumenergy
Remote
Remote
Python computational science tool suite
Us power markets experience
Energy domain experience
Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics
Job Summary
Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics.
Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain.
Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
Matching Summary
Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics.
Skills & Requirements
Must-have
Python computational science tool suite
US Power Markets experience
Energy domain experience
Quantitative trading strategy development
Collaboration-first mentality
Nice-to-have
Statistical models on time series data
Database technologies and SQL
Optimization techniques
Data visualization and dashboarding
Key Requirements
2+ years experience in quantitative research & analytics
2+ years experience with python
Experience in the electricity and energy domain
Experience developing, releasing, and tracking performance of quantitative trading strategies in production