The Autobidder team develops and maintains the physical dispatch and electricity market trading strategies for front-of-meter and behind-the-meter storage systems providing Grid Services. We are an algorithmic trading team that develops systematic software solutions for monetizing energy storage by continuously forecasting electricity market prices, analyzing key market trends, and actively re-optimizing behavior. We have repeatedly demonstrated success in residential, commercial, and utility-scale settings. We are seeking quantitative analysts with electricity market expertise to provide data-driven guidance on our commercial priorities and inform the development of our automated trading software, Autobidder. As part of the Market Analysis team, your analysis will inform decisions on asset valuation, pricing, commercial structuring, market-entry, risk tolerance, and product design. You will work alongside algorithm engineers, finance leads, and commercial teams at the intersection of commercial structuring, market analysis, and real-world operations. Successful candidates will understand the key drivers that impact battery revenues, and will analyze the implications when these key drivers are flexed across a range of scenarios. You have a deep intellectual curiosity about electricity markets that fuels your ability to learn quickly and apply insights across different market designs and policy environments. You have a track record of informing decisions in the face of uncertainty and ambiguity, and can communicate results effectively across disciplines at varying levels of technical depth. * Develop and maintain Tesla's long-term view of market fundamentals and prices in wholesale electricity markets around the world * Develop long-term revenue forecasts using a combination of internal modeling tools, vendor forecasts, and expert judgments * Serve as a technical representative of the team with prospective customers on our forward-looking views * Monitor market design and policy initiatives to assess their impact on storage monetization in the mid to long-term * Leverage your expertise in market fundamentals and our simulation capability to make data-driven recommendations to improve trading strategies in collaboration with Autobidder algorithm and market operations teams * Develop and maintain medium-term price forecasts to inform Tesla's retail business offer pricing and portfolio management * Professional expertise in at least one of the following: US, European, or Australian electricity markets and aptitude and interest to learn about others * 3+ years of direct experience in at least one of the following: electricity market operations, energy-related commodity trading, utility-scale investment diligence, long-term price forecasting, energy markets quantitative analysis * Proficiency in Python to manipulate, analyze, and visualize complex data sets to extract insights and trends * Track record of impacting investment or trading decisions through your own market analysis and insights * A passion for extracting insight from data and complete comfort in communicating highly technical topics to a range of audiences * Experience on a power trading desk or other exposure to real-time operations * Modeling of energy storage market applications via simulated market dispatch preferred * Strong understanding of market governing documents including tariffs, nodal protocols, business practice manuals, and experience using these primary sources to confidently answer technical market design questions * Experience with power flow modeling, FTR/CRR trading, node/hub basis risk assessment