Senior Analyst, Structures & Pricing
AES Corporation
- Location
- US, Houston, TX
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 17, 2026
About this role
Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries. AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide. We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World’s Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices. Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute’s Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a more sustainable future , we're powering it. Apply now and energize your career with a true leader in global energy. At AES, we are accelerating the future of energy through innovation, collaboration, and a shared commitment to building a more sustainable world. As a global energy company and leade r in renewable energy solutions, we empower our people to help shape the energy transition while developing meaningful and rewarding careers. We are seeking a Senior Analyst, Structures & Pricing to join our Commercial team and report to the Vice President, Structured Trading & Analytics. In this role, you will help drive AES's renewable energy growth strategy by supporting the structuring, valuation, and commercial analysis of solar, wind, energy storage, and thermal generation opportunities. You will collaborate across Origination, Trading, Engineering, Risk Management, and Digital teams to develop innovative solutions for a diverse range of customers, including hyperscalers, utilities, community choice aggregators (CCAs), data centers, and large corporate energy buyers. This is an opportunity to work on complex and high-impact transactions while building expertise in energy markets, structured products, commercial strategy, and advanced analytics. At AES, we encourage continuous learning, professional growth, and collaboration across disciplines, providing exposure to some of the most dynamic areas of the energy industry.
Key Responsibilities
Collaborate with commercial teams to design structured energy products, evaluate transactions, and develop valuation models supporting renewable and thermal generation opportunities. Partner with Origination, Mergers & Acquisitions, Trading, and Development teams to create innovative commercial solutions for utilities, hyperscalers, data centers, and other large energy consumers. Work alongside the ETRM team to support the implementation of approved commercial structures, valuation methodologies, and associated workflows across systems and analytical tools. Partner with Risk Management teams to support model validation, risk assessment, governance, and decision-making processes. Contribute to the ongoing enhancement and automation of analytical models, workflows, and recurring reporting processes. Support the development of scalable analytical capabilities that improve efficiency and commercial insight across the organization.
Required Qualifications
Bachelor's degree in Engineering, Finance, Economics, Mathematics, Data Science, Physical Sciences, or a related field, or equivalent combination of education and relevant experience. Experience in energy transaction valuation, commercial analysis, quantitative modeling, structured products, trading, asset management, portfolio management, or related