(Senior) Trading Analyst, Autobidder

Tesla, Inc.; City of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

An innovative energy company is seeking a Senior Trading Analyst to join their Autobidder Operations team in London. You will lead analytical projects, refine trading strategies, and develop tools for optimizing battery fleet performance. The ideal candidate has over 5 years of experience in energy trading or data analysis, strong quantitative skills, and proficiency in Python. The position offers full-time employment in a dynamic and sustainable energy environment.

Qualifications

• 5+ years in an analytical or quantitative role focused on energy markets.
• Experience in statistical analysis, predictive modelling, and large datasets.
• Fluency in English; familiarity with additional European languages is a plus.

Responsibilities

• Lead analytical projects to refine trading strategies.
• Analyze electricity trading trends and competitor activity.
• Develop and enhance Python-based tools for battery fleet analysis.

Skills

Analytical skills

Quantitative analysis

Energy trading knowledge

Python (pandas, NumPy, scikit‑learn)

Job description

(Senior) Trading Analyst, Autobidder at Tesla

Join Tesla’s Autobidder Operations team and drive the future of energy trading. Autobidder, the leading platform for battery storage optimization, manages the world’s largest fleet of energy assets—from utility‑scale batteries to virtual power plants. As a Senior Trading Analyst, you’ll refine algorithmic trading strategies, unlock revenue opportunities, and accelerate the global shift to sustainable energy.

What You’ll Do

• Lead analytical projects to refine trading strategies and algorithm development
• Analyze electricity trading trends, competitor activity, and policy changes to identify revenue opportunities
• Perform forensic analysis of trading outcomes to identify opportunities for algorithmic refinement
• Develop and enhance Python‑based tools, simulations and analytical workflows to evaluate battery fleet performance, validate strategic hypothesis and generate actionable insights
• Collaborate with optimization and software teams to enhance algorithmic decision‑making and scalability
• Translate commercial questions into structured hypotheses, conducting simulations and backtesting to validate strategies
• Monitor European electricity markets to optimize battery storage monetization
• Participate in on‑call rotations to support real‑time market operations and ensure system reliability
• Communicate performance insights and market updates to internal teams, customers, and external stakeholders
• Must be authorized to work in the UK

What You’ll Bring

• 5+ years in an analytical, data science or quantitative role, with a focus on energy markets, electricity trading or energy storage optimization
• Strong quantitative and energy trading experience is essential; familiarity with the UK energy market is a plus
• Proven track record in data‑driven decision‑making, including statistical analysis, predictive modelling and deriving actionable insights from large datasets
• Experience designing and executing simulations, backtesting frameworks or scenario analyses to validate trading strategies or market hypotheses
• Expertise in translating complex business questions into structured analytical workflows, leveraging tools like Python (pandas, NumPy, scikit‑learn) for data manipulation and modelling
• Familiarity with machine‑learning applications in energy markets (e.g., price forecasting, demand prediction) or optimisation techniques (e.g., linear programming, stochastic modelling)
• Prior exposure to algorithmic trading environments, energy storage revenue stacking or market design analysis
• Fluency in English, any other European language is a plus

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Finance and Sales

Industries

Motor Vehicle Manufacturing, Renewable Energy, Semiconductor Manufacturing, Utilities

Location: London, England, United Kingdom