Quantitative Trading Intern - Energy Markets & Algorithms

Base Power Company; Austin (TX); On-site; USD 30,000 - 50,000; Part time

Job summary

Base is seeking a highly motivated software engineering intern to join the Markets team in Austin to work on real-time electricity trading and hedging problems. You will design and implement sequential decision algorithms for energy storage resources and validate models in simulated environments.

You’ll gain exposure to risk/ trading workflows, automation of valuation, and production deployment while collaborating with full-time engineers in a fast-paced startup setting.

Qualifications

• Strong problem-solving mindset.
• Expertise in optimization techniques and sequential decision-making algorithms.
• Proficiency in statistics, machine learning, and data-driven decision-making.
• Strong software engineering skills including test-driven development and CI/CD workflows.
• Proficiency in Python and SQL; ability to write clean, maintainable code.

Responsibilities

• Design algorithms for trading a fleet of energy storage resources in ERCOT.
• Validate physics- and economics-based models in a simulation environment.
• Implement and deploy new algorithms to production trading stack.
• Quantify long-term financial risk under different operating strategies.
• Identify and assess new products and contract structures.
• Develop software to automate valuation and execution of trades.

Tools

Python

SQL

Job description

Base is seeking a highly motivated software engineering intern to join the Markets team in Austin to work on real-time electricity trading and hedging problems. You will design and implement sequential decision algorithms for energy storage resources and validate models in simulated environments.

You’ll gain exposure to risk/ trading workflows, automation of valuation, and production deployment while collaborating with full-time engineers in a fast-paced startup setting.