Senior Quantitative Analyst

AES Clean Energy • Houston, TX

1d

About The Position

As a Senior Quantitative Analyst, you will report to the Head of Risk. You will leverage AES Clean Energy’s large-scale renewable and battery storage portfolio to conduct quantitative risk analysis. You will play a pivotal role in assessing the risks related to renewable projects, power purchase agreements (PPAs), derivative transactions and congestion products by developing and maintaining statistical models. You will also analyze less liquid products like renewable energy credits (RECs) and capacity and resource adequacy (RA) deals. Together with your colleagues, you will be responsible for creating and owning quantitative models and supporting the infrastructure to drive both short and long-term decision making. We’re looking for someone to help take our quantitative modeling and analysis to the next level, as we aim to increase the size of our portfolio. We’re a collaborative and fast-moving organization. As a team, we create systems, models, and analysis to drive commercial decision making and processes.

Requirements

• 3–5 years’ experience in competitive energy markets, preferably with renewables.
• Bachelor's or higher in engineering, computer science, math, physics, economics, finance, or related field.
• Knowledge of derivatives valuation, structured product pricing, and US power/commodity markets.
• Understanding of renewable generation tech, especially solar and battery storage.
• Strong grasp of cash flow, futures, forwards, options, and risk management principles (VaR, stress testing, backtesting).
• Experience with financial modeling, ETRM systems (Allegro preferred), and programming (Python, C++, R, SQL).
• Analytical, resourceful, and commercially agile with attention to detail.
• Strong communication skills and ability to work under tight deadlines.
• Entrepreneurial, self-motivated, and adaptable mindset.

Responsibilities

• Works to support the execution of the company’s strategy by providing analytical support of the risk around structured transactions
• Performs historical analysis of electricity market prices to value basis risk in projects
• Forecasts hourly prices based historical information and fundamental bases
• Develops risk models to value the combined uncertainty of wind and solar generation and hourly electricity prices
• Develops and implements storage bidding models and strategy
• Development of pricing models and analytical techniques for valuation of renewable transactions
• Develop and manage tools, systems and reports to support decision making

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees