Tesla Senior Trading Analyst Autobidder 

Netherlands, North Holland, Amsterdam 

950037971

Lead high-impact analytical projects that guide trading strategy, algorithm development, and market expansion — from scoping to insight delivery.

Shape how we approach complex analytical problems, such as market mechanism modelling, simulations, and backtesting frameworks.

Enhance our existing Python-based analytical tools to thoroughly evaluate the battery fleet’s performance, generating actionable insights that guide future trading decisions.

Analyze evolving market design and policy changes in key regions to assess their impact on storage monetization, engaging with relevant stakeholders to shape strategic decisions.

Translate commercial questions and market signals into structured hypotheses and evidence-based insights.

Collaborate with optimization and software teams to co-design reusable tools and analytical workflows that sharpen our competitive edge in algorithmic electricity market trading.

Conduct batch experiments using proprietary simulation tools, performing detailed forensic analysis of outcomes to pinpoint opportunities for algorithmic enhancements.

Participate in on-call rotations to maintain operational continuity and support Autobidder’s market activities.

Help build analytical best practices across the team — supporting juniors, improving workflows, and setting a high standard for reproducibility and rigour.

Lead discussions with internal teams, customers, and external organizations to share fleet performance insights and operational updates.

5+ years of experience in an Analytical or Data Science role

Proficiency in Python, or similar programming languages such as Java, Scala, C#, or C++

Understanding of European electricity markets (e.g., UK, France), including market design, trading strategies, and product structures

Bachelor’s degree in Science, Technology, Engineering, or Math or related field (or equivalent experience)

Strong organisational skills and experience applying decision making frameworks to complex problems

Robust analytical skills for extracting insights, proficiency in making data-driven decisions in uncertain scenarios

Strong sense of ownership and a collaborative mindset, paired with a creative approach to problem-solving and a commitment to team success

Experience in managing projects and stakeholders remotely across multiple time zones

Strong presentation skills; comfortable delivering information to a senior audience and communicating technical results to diverse audiences