What to Expect
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, traders, 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. We are open to Melbourne or Sydney based candidates.
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Develop and maintain Tesla's long-term view of market fundamentals and prices in the NEM using a combination of internal modeling tools, vendor forecasts, and expert judgments
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Develop long-term battery revenue forecasts, complex BESS revenue models to price novel revenues structures and work on portfolio valuation
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Develop and maintain medium-term price forecast models, and understand and communicate model limitations and model risk
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Serve as a technical representative of the team with prospective customers on our forward-looking views
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Monitor market design and policy initiatives to assess their impact on storage monetization in the mid to long-term
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Contribute to project structuring, offer design and support origination
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Strong quantitative background - Engineering, Maths, Econometrics or equivalent field
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5+ years of direct experience on the NEM market
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Ability to read NEMDE constraint equations and explain dispatch outcomes from them
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Production cost modelling experience (PLEXOS, or equivalent) for long-term price/revenue forecasts
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Proficiency in Python and SQL
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Power flow / transmission modelling experience (PSS/E, PowerFactory, or DC OPF) is preferred
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Knowledge of electricity market instruments such as virtual tolls, forwards, swaps, puts, caps, floors, etc is preferred
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Experience with Docker/Kubernetes/Argo a plus
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
