Join Base Power Company as a Quantitative Developer Intern to tackle high-impact problems in energy trading and risk management.
Posted by employer 1 month ago
First seen on Joblaze 3 months ago
Last verified on the company career page 1 hour ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
The Quantitative Developer Intern at Base Power Company engages in designing and implementing algorithms for trading energy storage resources while validating models in a simulation environment. Key skills include expertise in optimization techniques, proficiency in Python and SQL, and a solid understanding of statistics and machine learning. This role is ideal for someone with a strong problem-solving mindset and a background in software engineering, particularly those interested in energy markets. The dynamic startup environment means responsibilities may evolve as the company grows.
Joblaze insights
Quick facts
From the original posting
We’re looking for a highly motivated, intellectually curious, mission-driven software engineer to join our Markets team. As an intern, you’ll work on high-impact problems critical to Base’s success and deliver solutions alongside full-time team members.
Algorithms & Optimization:
At Base, we operate distributed energy resources that trade in real-time electricity and ancillary service markets. You’ll help design and implement sequential decision algorithms that determine when and how to trade. Responsibilities will include:
Designing algorithms for trading a fleet of energy storage resources in ERCOT.
Validating physics- and economics-based models in a simulation environment.
Implementing and deploying new algorithms to our production trading stack.
Risk & Trading:
Base also enters into financial contracts to hedge against volatility in electricity markets. You’ll help identify, evaluate, and automate new hedging strategies. Responsibilities will include:
Quantifying long-term financial risk under different operating strategies.
Identifying and assessing new products and contract structures.
Developing software to automate valuation and execution of trades.
First-principles thinker with a 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, and scalable code.
Knowledge of energy markets, energy systems, or wholesale power trading.
Experience in commodities, equities, or derivatives trading.
The Markets team at Base is tasked with ensuring the grid-support performance and profitability of Base’s distributed battery fleet. This encompasses device communications with balancing authorities, telemetry analysis, algorithms for fleet aggregation and economic dispatch, through to financial portfolio management in wholesale energy markets. Our team is made up of physicists, economists, computer scientists, and engineers; the best candidates will bring the day-over-day intensity of an operator with the foresight to drive the long term development of simpler, more performant automated control. Success looks like building the airplane as it falls out of the sky.
First Principles Thinking: Question assumptions. Principles > rules.
Standard company text repeated across Base Power Company's postings is omitted here.