דרושים Senior Trading Analyst Autobidder Electricity Trading ב-Tesla ב-United Kingdom, London

• Develop and analyze data-driven insights from analytics and reporting tools to provide actionable intelligence on the performance of the wholesale battery fleet, identifying trends, patterns, and areas for improvement to inform future strategic trading decisions and optimize business outcomes
• Foster and communicate the understanding of Autobidder's performance, analyzing it against competitor benchmarks and simulated scenarios to inform business strategy
• Define and report on clear key performance indicators (KPIs), and contribute ideas for improving field performance
• Collaborate with cross-functional teams of algorithm engineers and software engineers to automate reporting tools and processes, ensuring seamless scalability and efficiency
• Structure batch experiments through our proprietary simulation platform and conduct forensic analysis of outputs to explain performance and identify opportunities for algorithmic improvements
• Participate in on-call rotations for Autobidder market operations
• Facilitate and lead regular meetings with internal stakeholders to drive collaborative understanding and alignment on battery fleet performance metrics and strategies

• Proficiency in Python with the ability to develop, modify, and run analytical tools to extract insights from data
• Degree in Economics, Engineering, or equivalent work experience
• Experience with both energy and ancillary service products as well as with stationary storage
• Exceptional data management skills, with the ability to work with large datasets, organize logically and efficiently, and extract actionable insights
• Demonstrated meticulous attention to detail and an unwavering commitment to accuracy, ensuring data integrity and reliability
• Clear and effective communication, both written and interpersonal, to convey complex insights and results to internal and external stakeholders
• Ability to work effectively with cross-functional teams and produce and coordinate time-sensitive deliverables

Preferred, additional skills

• Expertise in energy-related commodity trading or electricity market research
• Experience with simulation techniques to evaluate, develop, and refine key performance indicators (KPIs), providing actionable insights that drive informed investment and trading decisions
• Track record of positively impacting investment or trading decisions through your own market analysis and insights

• Educate customers on the benefits of Tesla’s energy optimization and trading software and services
• Leverage sales team relationships with independent power producers, developers, and utilities to build a pipeline of energy optimization services opportunities within EMEA
• Achieve sales targets via negotiating and contracting
• Collaborate internally to define Tesla’s energy optimization offering scope, terms, and pricing, including developing complex financial structures and ensuring alignment with customer needs
• Contribute to the strategy for and preparation of tender responses, in collaboration with Tesla’s Megapack Sales team
• Maintain quality pipeline data and provide reporting to management as needed
• Assess market dynamics and drivers in designated markets, offering crucial insights to the wider Tesla team for formulating and implementing optimal go-to-market strategies

• A minimum of 3 years of work experience in the electricity industry, a background in the battery storage industry is a plus
• Possess a strong understanding of electricity markets and energy trading
• Sales or business development experience with a focus on customer interactions
• Strong analytical and quantitative skills, ideally with experience on complex price models, storage/renewable project economics, techno-economic optimizations, quantitative risk analysis, etc.
• Experience structuring, negotiating, and contracting complex financial offers is considered a plus
• Ability to effectively communicate technical concepts and analytical results to clients and internal stakeholders Demonstrated expertise in overseeing cross-functional projects within dynamic, fast-paced environments
• Fluency in English and, ideally, another European language Ability to travel up to 25% of time
• Deep passion for accelerating the world’s transition to sustainable energy

As a (Senior) Algorithms Engineer, you will be responsible for steering the evolution of Autobidder's bidding and automation algorithms. This includes rapid iterations when entering new markets and devising sophisticated algorithmic approaches to optimize revenues and increase automation in advanced markets. You will develop deep expertise in electricity markets and leverage your technical skills to craft algorithms that help Autobidder deliver best-in-class performance. You will be intimately familiar with the performance and operational nuances of assets operated by Autobidder and will serve as the feedback loop between operational learnings and algorithmic advancements to ensure our algorithms deliver real-world value. You will own production systems and be responsible for their performance, reliability, and availability. Your work will help proliferate battery storage and renewable projects around the globe.

• Algorithm Development: Design, implement, and maintain production code for sophisticated bidding, optimization, simulation, and forecasting algorithms
• Research and Innovation: Prototype, benchmark, deploy and monitor advanced algorithmic features that account for uncertainties in prices and clearing outcomes, optimally allocate quantities to maximize risk adjusted revenues, reason about interactions with strategic competitors, account for influence of quantity on clearing prices, etc. for large fleets of utility-scale storage assets and Virtual Power Plants
• Domain Expertise: Become an expert in electricity markets and grid, and the various facets of operating in them
• Technical Leadership: Guide algorithmic decisions to balance performance and complexity, and make thoughtful design and infrastructure choices that facilitate a positive developer experience in the long run
• Tooling, Simulation and Monitoring: Develop tooling and simulation systems to monitor and track field performance of assets. Define metrics to quantify, track, and improve specific areas of performance, and drive algorithm changes to enhance asset performance under management
• Roadmap Planning, Product and Business Development: Plan technical roadmaps and lead execution. Inform product definition and business development
• Mentorship and cross-functional collaboration: Mentor and develop a growing team of exceptional algorithm engineers. Work with ML engineers, traders, market analysts, and software engineers to ensure algorithms drive end-to-end value

• 4+ years' experience in developing and maintaining production software systems
• Proficiency in modern programming languages, such as Python
• Experience in writing high-quality production code
• Experience in building real-world products and solutions using numerical optimization technology (LP, MILP, nonlinear optimization, etc.) and solvers such as Gurobi, XPRESS, GLPK, CPLEX, etc.
• Knowledge of the energy and electricity market

Preferred, additional skills:

• Domain expertise in forecasting, analysis, or trading in the GB electricity market (or other electricity markets)
• Experience with cloud-hosted systems and related tooling, including compute services (e.g. EC2, GCP Compute Engine) and container orchestration (e.g. Kubernetes, Docker)
• Expertise in numerical optimization, operations research, and related mathematical fields, such as stochastic control, optimal control, and computational finance
• Experience in researching, developing, and deploying new algorithmic strategies to solve complex optimization problems, including decision-making under uncertainty, scenario optimization, MDPs, financial risk modeling, and distributed/decentralized control

• Develop and analyze data-driven insights from analytics and reporting tools to provide actionable intelligence on the performance of the wholesale battery fleet, identifying trends, patterns, and areas for improvement to inform future strategic trading decisions and optimize business outcomes
• Foster and communicate the understanding of Autobidder's performance, analyzing it against competitor benchmarks and simulated scenarios to inform business strategy
• Define and report on clear key performance indicators (KPIs), and contribute ideas for improving field performance
• Collaborate with cross-functional teams of algorithm engineers and software engineers to automate reporting tools and processes, ensuring seamless scalability and efficiency
• Structure batch experiments through our proprietary simulation platform and conduct forensic analysis of outputs to explain performance and identify opportunities for algorithmic improvements
• Participate in on-call rotations for Autobidder market operations
• Facilitate and lead regular meetings with internal stakeholders to drive collaborative understanding and alignment on battery fleet performance metrics and strategies

• Proficiency in Python with the ability to develop, modify, and run analytical tools to extract insights from data
• Degree in Economics, Engineering, or equivalent work experience
• Experience with both energy and ancillary service products as well as with stationary storage
• Exceptional data management skills, with the ability to work with large datasets, organize logically and efficiently, and extract actionable insights
• Demonstrated meticulous attention to detail and an unwavering commitment to accuracy, ensuring data integrity and reliability
• Clear and effective communication, both written and interpersonal, to convey complex insights and results to internal and external stakeholders
• Ability to work effectively with cross-functional teams and produce and coordinate time-sensitive deliverables

Preferred, additional skills

• Expertise in energy-related commodity trading or electricity market research
• Experience with simulation techniques to evaluate, develop, and refine key performance indicators (KPIs), providing actionable insights that drive informed investment and trading decisions
• Track record of positively impacting investment or trading decisions through your own market analysis and insights