Quantitative Research and Trading Intern
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Sep 12, 2026.
SESCO Enterprises, LLC is a proprietary commodities trading firm specializing in U.S. electricity markets. We leverage deep market insights and advanced quantitative analysis to drive results and contribute to the efficiency and reliability of the power grid.
Quantitative Research and Trading Intern
This role is ideal for students eager to apply quantitative skills to real-world energy markets while gaining exposure to the fast-paced environment of a trading desk. You will collaborate closely with senior members of the Trading team on the design, development, and enhancement of quantitative tools, while also conducting market research and modeling to support real-time trading decisions.
In this internship, you will:
- Work on projects involving power system design, supply and demand dynamics, and market pricing trends
- Support the development of systematic trade strategies and identify energy trading opportunities
- Gain hands-on experience with network modeling, economic dispatch, linear optimization, and grid topology
- Analyze key market drivers such as weather, load, fuel costs, outages, and transmission constraints
- Provide ad hoc analysis for the trading desk during live market hours
Our Approach
At SESCO we embrace a hacker mindset to develop elegant, efficient, and impactful solutions to real-world challenges in electricity markets.
- Problem-Solving: We thrive on solving tough problems with creativity and rigor.
- Collaboration: We value a highly collaborative environment that blends diverse expertise.
- Innovation: Electricity markets demand innovative solutions to account for incomplete information and complex dynamics.
Qualifications
- Undergrad or master's in a technical discipline (e.g., Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities.
- Strong foundation in statistics and programming (Python or similar)
- Ability to develop predictive models and market simulations
- Analytical curiosity and strong problem-solving skills
- Prior knowledge of the power market is helpful but not required