This role combines deep technical execution with mentorship and cross-functional leadership within Cypress Creek Renewables' Revenue function
Job Summary
This role combines deep technical execution with mentorship and cross-functional leadership within Cypress Creek Renewables' Revenue function.
The position is responsible for designing quantitative models that support trading strategies, asset optimization, and commercial structuring across the solar and storage portfolio.
Candidates will apply machine learning and optimization techniques to enhance forecast accuracy while reviewing PPA terms to identify and mitigate underlying risks.
Matching Summary
This role combines deep technical execution with mentorship and cross-functional leadership within Cypress Creek Renewables' Revenue function.
Skills & Requirements
Must-have
Design quantitative models for trading strategy
Develop tools for risk management and pricing
Monitor market signals for basis and congestion
Incorporate weather and generation data into frameworks
Support BESS optimization and automated forecasting
Apply machine learning to improve forecast accuracy