Team Lead, Data Analytics (BESS)

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At AES, we are accelerating the future of energy, together, while transforming the customer experience and delivering outstanding products and solutions. We are looking for a Team Lead, Data Analytics (BESS), to report to the Manager of Structuring and Analytics (BESS) in the AES Clean Energy commercial business. The role will support the commercial platform in modeling and valuing Battery Energy Storage Systems, and partner with other business functions in Structured Origination, Term Trading, Structured Trading, Engineering, and Risk Management. Employees of varying experience are welcome to apply, and the role may be changed to accommodate differing experience levels.

This is a phenomenal opportunity to work toward a 100% carbon-free energy future, drive the business, build groundbreaking renewables experience, and grow with the team owning the energy transition.

Main Responsibilities

• Lead development of battery dispatch model functionality as needed to support customer transactions, including innovative, first-to-market deal types. 
• Work with regulatory, engineering, market operations, and trading teams to improve modeling accuracy and adapt to changing market conditions.
• Coordinate with members of the Commercial team to communicate model results and changes to broader AES partners.
• Act as an internal subject matter expert in BESS project valuation and modeling, using model results to educate and coordinate with other teams across the AES CE business.
• Support the AES Clean Energy deal pipeline with development of project revenue models for Battery Energy Storage Systems (BESS).
• Coordinate with Business Development, Mergers and Acquisitions, and Origination teams to ensure asset revenues and Power Purchase Agreements are adequately reflected within the investment due diligence process.
• Deliver improvements and automation for existing battery dispatch models to shorten turnaround times and apply findings holistically to the business infrastructure.
• Develop a deep understanding of commercial impacts affecting AES CE business, grow their own skills, contribute to building the wider team, and progress along the career path. 

Qualifications 

• Extensive experience with US Wholesale power markets (ERCOT, CAISO preferred)
• Knowledge of renewable and BESS asset revenue streams and their valuation.
• Deep experience in at least one programming language (https://e.g., Python, R, MATLAB, C/C++), R and Python preferred.
• Experience with optimization models and linear optimization.
• Previous experience building production level models for power market.
• Strong quantitative and analytical skills, communication skills and attention to detail.
• Bachelor's Degree in Computer Science, Finance, Engineering, Math, Physics, Data Science, Business Analytics or similar. Master’s Degree in those areas preferred.
• 3-4 years of relevant work experience in the energy industry in related functions such as trading, portfolio management, asset management, investment advisory, quantitative analytics, risk analytics and similar.

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work https://authorization.The expected salary for this position, at commencement of employment, is between $105,000 and $131,750/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.