Cypress Creek Renewables (CCR) is seeking a Quantitative Analyst to enhance their risk management strategies, optimize trading decisions, and support the expansion of their energy portfolio by developing and maintaining forecasting models, building analytical tools, and providing quantitative insights into gas and power markets.
Requirements
- Proven experience building and applying statistical, econometric, and stochastic models for trading and risk.
- Proficiency in Python for quantitative modeling and data analysis.
- Familiarity with risk systems, valuation methods, and power market datasets (e.g., ISO market data, EIA, ICE).
- Strong knowledge of ISO/RTO market structures, nodal pricing, congestion, and renewable integration.
Responsibilities
- Build and maintain forecasting models for nodal prices, congestion, and volatility in ISO/RTO markets.
- Analyze market fundamentals (supply/demand, transmission constraints, policy drivers) and their impact on solar and storage assets.
- Incorporate renewable profiles, battery storage dispatch, and correlated risks into modeling frameworks.
- Support real-time and forward trading activities through quantitative insights and scenario analysis.
- Assess basis, spreads, and correlations between locations in our portfolio.
- Build analytical tools and dashboards for risk management, hedging strategies, and performance monitoring.
- Automate data pipelines and improve workflow efficiency for market data, forecasts, and trading strategies.
Other
- 2–5 years of experience in in risk analytics, quantitative modeling, or portfolio management in wholesale power markets.
- Excellent communication skills and ability to explain complex models to both technical and non-technical stakeholders.
- Work closely with trading, risk management, development, and finance teams to align market views with CCR’s asset portfolio.
- Provide insights to leadership on market conditions, risks, and strategic opportunities.
- This role will be based out the CCR offices in Chicago, working on a hybrid schedule of 3 days in office, 2 days remote.
