Market Operations Intern

(Multiple states)

Internship

Student (College)

Job Title: Market Operations Intern	Department: Market Operations
Reports to: Manager, Market Analysis	Effective Date: Spring 2025
Location: Remote	Travel: 15%

POSITION PURPOSE:
This is a temporary, non-exempt position that will be reporting to the Manager, Market Analysis. The Market Operations Intern will use quantitative reasoning, problem solving, data science methods, and programming skills to assist the market operations team in analysis of power market conditions which affect the strategic operations of battery energy storage systems across the Key Capture Energy fleet. Responsibilities may include conducting regression analyses on key market factors, developing statistics with high predictive power of market outcomes, implementing machine learning models to predict market trends, and building reports summarizing performance of different predictive strategies. The ideal candidate is a strong analytical thinker who can independently develop data-backed answers to qualitative questions and communicate their findings to others effectively.

KEY RESPONSIBILITIES:

Build a fundamental understanding of daily energy market operations in ERCOT
Use statistical methods to quantify the impact of market conditions on power prices
conduct a literature review to inform design of new algorithms and models
Implement and expand data science pipelines to ingest and process large datasets in Python
Develop and evaluate machine learning models to identify similar historical days based on forecasted market conditions
Build visualizations and deliver reports to summarize findings
Other analytical tasks in support of the Market Operations department, such as ad hoc analysis
All other duties as required

WORK EXPERIENCE & REQUIREMENTS:

Must currently possess or be willing to obtain notary license
Pursuing legal degree or a current paralegal
0-2 years of energy industry or analytical experience
Pursuing degree in mathematics, computer science, economics, or related field
Profiecient in Python and SQL
Experience implementing data science and machine learning methods
Exposure to supervised metric learning is a plus
Experience working with large data sets is a plus
Familiarity with energy market fundamentals is a plus
Interest in clean energy and power markets
Motivated self-starter
Strong organizational communication and time-management skills

Physical Requirements:

Prolonged periods of sitting at a desk and working on a computer.

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