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(Senior) Trading Engineer, Autobidder

North Holland, Netherlands (On-site)

(Senior) Trading Engineer, Autobidder

1 Month ago • 6-8 Years • Research & Development

Job Summary

Job Description

Tesla's Autobidder team seeks a (Senior) Trading Engineer to enhance automated trading and asset optimization in electricity markets. Responsibilities include developing Python-based analytical and reporting tools to monitor battery fleet performance, analyzing market design and policy changes, collaborating with machine learning and software teams, ensuring optimal market revenue generation, conducting batch experiments, and participating in on-call rotations. The role requires expertise in energy markets and software engineering, strong analytical skills, and collaboration within a fast-paced team. The successful candidate will contribute to optimizing battery revenues and advancing renewable power integration, directly impacting the success of energy assets and the transition to sustainable energy.

Must have:

Proficiency in Python
Understanding of European electricity markets
Analytical & decision-making skills
Collaboration & problem-solving
Develop analytical & reporting tools

Good to have:

Experience in electricity market trading or research, particularly in energy storage

6 skills required

6 skills required for this role

Add these skills to join the top 1% applicants for this job

java

cpp

scala

python

innovation

Job Details

What to Expect

Are you passionate about revolutionizing energy systems? Join the Autobidder Operations team as a Trading Engineer and play a key role in advancing automated trading and asset optimization in the electricity markets. Autobidder manages the world’s largest fleet of battery storage assets, from utility-scale batteries to virtual power plants, driving innovation in renewable energy.

As a Trading Engineer, you’ll leverage your expertise in energy markets and software engineering to enhance reporting, performance attribution, and operational monitoring. Your solutions will enable proactive management of trading strategies and asset performance, directly influencing the success of energy assets and accelerating the transition to sustainable energy systems.

You’ll contribute to Tesla’s mission by optimizing battery revenues and advancing renewable power integration. With a passion for building and automating tools that deliver tangible results, a bias for action, and a collaborative mindset, you’ll thrive in our fast-paced team environment.

What You’ll Do

Develop Python-based analytical and reporting tools to monitor the performance of the wholesale battery fleet and generate actionable insights for future trading decisions
Analyze market design evolution and policy changes in key markets, providing insights into their impact on storage monetization, and engage with relevant stakeholders
Collaborate with machine learning, optimization, and software teams to deliver fundamental analysis and expertise that enhance our competitive edge in algorithmic electricity market trading
Ensure optimal market revenue generation for the markets under your responsibility through continuous monitoring and analysis
Conduct batch experiments using proprietary simulation tools, perform detailed forensic analysis of results, and identify opportunities for algorithmic improvements
Participate in on-call rotations to support Autobidder market operations
Lead discussions with internal teams, customers, and external organizations to communicate fleet performance and operational insights

What You’ll Bring

Bachelor’s degree in Science, Technology, Engineering, or Math or related field (or equivalent experience)
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
Analytical skills for extracting insights, making decisions in uncertain scenarios, and communicating technical results to diverse audiences
Collaborative mindset with a creative approach to problem-solving and a drive for team success

Preferred Skills: