Cypress Creek Renewables is hiring a
Quantitative Associate

Summary

Join Cypress Creek Renewables, a leading clean-tech company, in powering a sustainable future. The Quantitative Associate will develop models to support decision making across the Revenue function, reporting to the VP, Quantitative Analytics.

Requirements

• Preferred Five to seven (5-7) years of relevant experience in Competitive Energy Markets, preferably dealing with Renewable assets, experience on a power trading desk preferred
• Bachelor’s degree or higher in Engineering, Computer Science, Mathematics or closely related field
• Familiar with valuation and analysis of derivatives, pricing of structured products
• Experience in the market structure, transactions, and protocols of US power markets and commodity markets more generally
• Familiar with Financial mathematics and business reporting, i.e. methodology, techniques and tools
• Strong Technical and System understanding
• Expertise in Programming Languages and quantitative Applications: Python, C++, C#, R, VBA, Matlab and Database Expertise (SQL)
• Knowledge of different mathematical models: artificial neural network, dynamic programming, standard operational research methods
• Analytical, ability to provide precise and solid insights, identify causes and conditions, structure action plans, and propose and explain to internal stakeholders
• Resourceful, ability to use a variety of tools, data sources, and systems; and inherent curiosity to procure and test new resources
• Able to identify and formulate risks management strategies for a variety of assets and at the portfolio level
• Strong commercial capabilities and attention to detail
• Excellent interpersonal and strong communication skills
• Understanding of renewable generation technology, especially solar and battery storage

Responsibilities

• Collaborate with key stakeholders to define the conception of our in-house risk and quantitative frameworks
• Design and construct risk management tools used in evaluating and managing company's risk profile and exposure levels
• Develop techniques enabling Quantitative Data Management and Analysis, Advanced Analytics, Machine Learning, etc
• Monitoring and analyzing market information to identify opportunities to maximize profitability and reduce risks, including basis, congestion, curtailment, intermittency, etc
• Developing strategies to optimize solar generation and battery storage assets based upon economic conditions and operational constraints
• Monitor, analyze and incorporate weather and solar generation forecasts, load forecasts, generation availability, transmission outages, constraints into decision making
• Review, analyze and discuss the commercial terms of existing and upcoming PPAs, identifying the underlying risks, proposing alternatives and/or mitigation strategies
• Support the development of strategy towards short-term optimization of storage assets, involving automatic forecasting, optimization, and execution of orders in the market
• Utilize the Company’s existing and growing fleet of solar and battery storage assets to structure value added products for customers
• Support the development of innovative commercial structures to meet customer needs and to facilitate the development of solar and energy storage
• Own the pricing of offtake agreements
• Collaborate effectively with cross-functional teams including Revenue, Development, Project Finance and Solutions (Asset Management, Performance & O&M) teams
• Creating reports on an ad hoc basis
• Prepare internal analysis to drive decision making