Quantitative Researcher at Amplify Renewables
Core
Build quantitative trading strategies for virtuals and PTPs in US energy markets, focusing on PJM.
Role type
Mid-level quantitative researcher (trading)
Builds
Quantitative trading algorithms for energy markets
Domain
Energy trading, power markets, US ISOs
Deliverable
production ML models
Required skills
Python (numpy, pandas, matplotlib), statistics (sampling, biases, t-stats), process orientation
Preferred skills
LLM-assisted development, building quantitative trading algorithms
Technologies
Python, numpy, pandas, matplotlib
Responsibilities
Develop trading strategies for virtuals/PTPs/FTRs on US ISOs, collaborate with founders on US expansion, conduct statistical analysis for trading decisions
Seniority
Mid-level, hands-on IC
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