What To Expect
As part of the Autobidder team, you will manage trading performance for the world’s largest fleet of battery storage projects. You will drive continuous improvements in Tesla’s in-house automated trading platform, Autobidder, optimizing battery revenues and supporting the transition to sustainable energy.

You will generate actionable insights, communicate complex topics clearly, and engage with stakeholders. Collaborating with engineers, you will refine trading strategies, support decision-making, and monitor Autobidder’s real-time performance to balance risk and returns.

50% of your time will be dedicated to a trading shift, overseeing Autobidder’s trading strategies in the market. The remaining 50% of your time will be dedicated to developing analyses and market insights.

This role requires analytical problem-solving, a proactive mindset, and the ability to thrive in fast-paced, collaborative environments.

This position is open to applicants based in both Melbourne & Sydney.

What You'll Do

Lead on-call rotations for 24/7 BESS trading in the AEMO market via Autobidder, managing exchange-traded and OTC products while guiding junior analysts through high-stakes scenarios.

Spearhead high-impact analytical projects that inform trading strategy, algorithm enhancements, and market expansion, from initial scoping through to executive-level insight delivery and implementation.

Drive innovative approaches to complex problems, including market mechanism modeling, simulations, back-testing frameworks, and advanced hedging strategies in retail market operations—leveraging deep knowledge of electricity market instruments such as forwards, swaps, caps, floors, options, etc.

Collaborate with algorithm, software, and market analysis teams to co-design scalable tools and workflows, sharpening Tesla's edge in algorithmic electricity trading and supporting market modeling requests, forecasts, and deal evaluations.

Support origination efforts by identifying, evaluating, and structuring potential energy deals, contracts, and partnerships, including risk assessments and market analysis to facilitate new business opportunities.

Develop, document, and refine trading processes to boost team efficiency, asset performance, and risk management, while mentoring others on best practices.

Facilitate strategic discussions with internal teams, customers, and external partners to share fleet performance insights, operational updates, and recommendations that directly support business development, sales, and origination initiatives.

Design and conduct batch experiments using proprietary simulation tools, leading forensic analyses to uncover algorithmic improvements and revenue optimization opportunities.

Enhance and expand Python-based analytical tools to evaluate battery fleet performance comprehensively, generating data-driven insights that influence trading decisions and long-term strategy.

Analyze evolving market designs, policy shifts, and regulatory changes in key regions, assessing impacts on storage monetization and collaborating with stakeholders to inform Tesla's strategic roadmap.

Translate commercial challenges and market signals into rigorous hypotheses, delivering evidence-based insights that drive actionable outcomes across the organization.

The motivated and interested candidate may also contribute directly to forecast and trading algorithm feature development directly.

What You'll Bring

Bachelor or Master level Degree in Statistics, Economics, Finance, Engineering, or a related quantitative field; advanced degrees or certifications (e.g., CFA, FRM) preferred.

5+ years of experience in physical or financial trading within Australian electricity markets, with demonstrated leadership in risk management, hedging strategies, and origination activities.

Expertise in electricity market financial instruments, including forwards, swaps, caps, floors, options, basis trades, spark spreads, weather derivatives, emissions allowances, and structured products, with a proven track record in applying them to retail operations, advanced hedging, and deal origination.

Advanced proficiency in SQL, Python, and Jupyter Notebooks for data analysis, tool development, and dashboard creation; experience with ETRM systems or market simulation software is highly valued.

Exceptional verbal and written communication skills, with the ability to lead collaborative efforts, present to executives, and mentor teams.

Data-driven leader with strong opinions on Autobidder’s evolution, backed by analytical rigor and a proactive, autonomous mindset.

Highly self-motivated, adaptable to ambiguity, and committed to Tesla’s mission of accelerating sustainable energy.

, Tesla