Intern - Quantitative Development

Remote
Internship
Student (College)
Company Overview
esVolta, LP is a leading developer, owner and operator of utility-scale energy storage projects across North America. We are at the forefront of the fast-growing battery energy storage market, and our projects are helping to transition the nation’s electric grid to a cleaner and more reliable future. Our storage projects provide major utilities with a multitude of important services including reliable fast-ramping capacity, energy and ancillary grid services including renewable energy integration support.

esVolta is independently owned, and we are among the largest players in the US energy storage sector with about 1.5 GWh of projects in operation or construction, and a 20+ GWh development pipeline.

We are headquartered in Newport Beach, California, with employees in multiple regions across the U.S. Our diverse management team has many decades of experience in the renewable energy, utility, and independent power sectors. esVolta is an innovative industry leader in development, design, construction, financing, and management of utility scale energy storage projects.

At esVolta, every employee makes an impact on the company’s growth and profitability, every day. We have a fast-paced, high-performance and team-oriented culture. We value quality of life and flexibility for our employees and strive to help our team members achieve their career goals.

About The Role
We are seeking motivated and talented individuals to join us for a 10-week summer internship within our Commercial Operations department. This intern will support core infrastructure improvements and market research initiatives that directly impact trading strategy and portfolio optimization.


This is a hands-on technical role ideal for a student pursuing a degree in Computer Science, Mathematics, Statistics, Data Science, Engineering, or a related quantitative discipline who is interested in energy markets, optimization, and applied quantitative research.

Core Responsibilities
  • Conduct quantitative research of market pricing trends across energy and ancillary services.
  • Evaluate how anticipated congestion patterns may inform strategy adjustments across Day-Ahead vs. Real-Time market participation.
  • Analyze forecasted transmission and generation outages in relation to identify potential congestion-driven price movements between asset nodes and trading hubs.
  • Analyze historical price data to identify structural shifts, volatility patterns, or emerging revenue opportunities.
  • Support hypothesis-driven analysis to evaluate potential updates or enhancements to existing trading strategies.
  • Develop visualizations, summaries, and technical memos to communicate findings to quantitative and commercial stakeholders.
  • Assist in testing potential strategy refinements using historical back testing or statistical analysis techniques.
  • This project will provide exposure to real-world trading strategy development within North American power markets.

What You Will Gain
  • Direct exposure to battery energy storage optimization and ISO power markets.
  • Experience improving production-grade quantitative infrastructure.
  • Mentorship from experienced quantitative developers and portfolio analytics professionals.
  • Hands-on experience contributing to real trading strategy research and infrastructure design.
  • Insight into how quantitative models translate into commercial decision-making in the energy storage sector.

Who You Are
  • Currently pursuing a bachelor’s or master’s degree in computer science, Mathematics, Statistics, Data Science, Engineering, or a related quantitative field. Rising junior, senior, or graduate student preferred.
  • Proficiency in Python and object-oriented programming principles required.
  • Experience with C++ or another OOP language is a plus.
  • Strong foundation in statistics, probability, linear algebra, or optimization.
  • Experience working with structured and large datasets.
  • Familiarity with data science libraries (e.g., pandas, NumPy, scikit-learn) preferred.
  • Experience with version control systems (e.g., Git) preferred.
  • Exposure to energy markets, power systems, or financial markets is a plus but not required.
  • Core Competencies
  • Strong analytical and quantitative problem-solving skills.
  • Ability to write clean, modular, and well-documented code.
  • Intellectual curiosity and interest in energy markets and trading.
  • Strong written and verbal communication skills.
  • Self-motivated and comfortable working in a remote, collaborative environment.
  • Ability to manage project timelines and deliver results within a structured internship period.
  • Team-oriented mindset with a proactive approach to learning.

Compensation, Location & Benefits
The hourly rate for this position is listed below. The actual hourly rate offered will depend on the specific skills and experience of the selected candidate.

 
$30.00 per hour40-hour work week

The internship is fully remote, with optional hybrid work for candidates located near our offices in New York, Denver, or Newport Beach. Willingness to be remotely based and ability to travel to company offices and project sites is required.

esVolta is an Equal Opportunity Employer.
We celebrate all forms of diversity and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, we encourage you to apply. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.

Share

Apply for this position

Required*
We've received your resume. Click here to update it.
Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume

Paste your resume here or Attach resume file

To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more.
Human Check*