Senior Associate/Manager, Quantitative Analytics

Cypress Creek Renewables•Chicago, NY

About The Position

The Senior Associate / Manager, Quantitative Analytics will be a senior individual contributor within CCE’s Revenue function. This role combines deep technical execution with mentorship, cross-functional leadership, and a growing ownership of analytical strategy. The position covers solar portfolio management, and BESS dispatch and optimization, with direct responsibility for both model development and the development of junior team members. Reporting to the Director, Quantitative Analytics, this role is suited for a practitioner who thrives as a hands-on contributor but is ready to take the next step in technical leadership — setting standards, reviewing others’ work, and helping shape how the team approaches problems.

Requirements

5+ years of relevant experience in competitive energy markets; experience on a power trading desk or in a quantitative/analytics role at a renewable developer, IPP, or energy hedge fund strongly preferred
Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, or a closely related field
Strong Python and SQL skills required
Proficiency with modern AI-assisted development tools (e.g., GitHub Copilot, Cursor) and strong Git/version control practices, including code review workflows and collaborative development in a shared codebase
Working knowledge of US power market structure, protocols, and settlement mechanics, particularly ERCOT and/or PJM
Experience with valuation of structured products, derivatives, and renewable offtake agreements
Familiarity with ML/AI techniques applied to energy forecasting or optimization (price forecasting, dispatch optimization, curtailment modeling, etc.)
Proven ability to communicate quantitative work clearly to non-technical audiences
Track record of mentoring junior colleagues, providing constructive feedback, or leading technical workstreams
Strong commercial instincts, attention to detail, and ability to manage competing priorities independently
Understanding of renewable generation technology, especially solar PV and battery storage

Responsibilities

Design, build, and own quantitative models supporting trading strategy, asset optimization, and commercial structuring across the Revenue function
Develop and maintain tools for risk management, pricing of offtake agreements, and evaluation of company risk exposure
Monitor and analyze market signals to identify opportunities related to basis, congestion, curtailment, and intermittency
Incorporate weather, solar generation, load, and transmission data into decision-making frameworks
Support short-term BESS optimization including automated forecasting, and day-ahead optimization
Review and analyze PPA commercial terms; identify underlying risks and propose mitigation strategies
Structure value-added products leveraging CCE’s solar and storage fleet; support pricing and commercial innovation
Apply machine learning and optimization techniques to improve forecast accuracy and strategy performance
Serve as a technical resource and informal mentor to junior analysts and associates on the Quantitative Analytics team
Review and provide structured feedback on peers’ models, code, and analytical outputs to uphold quality and consistency
Help define and document team standards for modeling approaches, code hygiene, and analytical workflows
Translate complex quantitative outputs into clear, actionable insights for commercial, development, and finance stakeholders
Take ownership of recurring analytical deliverables and ad hoc requests with minimal direction; proactively identify gaps and improvements
Actively participate in hiring and onboarding efforts, including technical screening and structuring onboarding materials
Partner with cross-functional teams — Revenue, Development, Project Finance, and Asset Management — to align analytics to business priorities