Energy Markets Quant Developer Intern

Base Power

Austin (TX)

On-site

USD 60,000 - 80,000

Full time

14 days+
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Job summary

Base Power in Austin, Texas, is seeking a highly motivated Software Engineer Intern to work on critical problems facing the company. The role involves designing algorithms for energy trading, validating models, and automating trading processes. The ideal candidate will have a strong problem-solving mind and skills in Python and SQL.

The Markets team ensures profitability through device communications and algorithm development within the energy sector. This is a dynamic startup environment, where responsibilities may evolve.

Qualifications

  • Strong problem-solving mindset and first-principles thinker.
  • Expertise in optimization and decision-making algorithms.
  • Proficient in statistics and data-driven decision-making.
  • Strong software engineering skills, including test-driven development.
  • Proficient in Python and SQL with clean coding practices.

Responsibilities

  • Design algorithms for trading energy storage resources in ERCOT.
  • Validate models in a simulation environment.
  • Implement and deploy algorithms to production trading stack.
  • Quantify long-term financial risk under different strategies.
  • Develop software for automating trade valuation and execution.

Skills

Problem-solving mindset
Optimization techniques
Proficiency in statistics
Machine learning skills
Software engineering skills
Proficiency in Python
Proficiency in SQL

Job description

Base Power in Austin, Texas, is seeking a highly motivated Software Engineer Intern to work on critical problems facing the company. The role involves designing algorithms for energy trading, validating models, and automating trading processes. The ideal candidate will have a strong problem-solving mind and skills in Python and SQL.

The Markets team ensures profitability through device communications and algorithm development within the energy sector. This is a dynamic startup environment, where responsibilities may evolve.

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