Performance Analyst (Energy Trading)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Performance Analyst (Python/SQL): Developing reporting and monitoring tools to optimize energy trading strategies for flexible assets with an accent on quantifying asset performance and automating data workflows. Focus on analyzing BESS and residential asset efficiency, identifying strategy weaknesses, and translating complex data into actionable commercial insights.
Location: Hybrid in London, UK
Company
is a technology-led energy group focused on accelerating the transition to Net Zero through innovative trading and grid flexibility solutions.
What you will do
- Quantify and communicate the performance of flexible assets, including grid-scale BESS and residential assets, to influence trading strategies.
- Build and maintain automated reporting and monitoring tools to assess both algorithmic and human-led trading strategies.
- Conduct in-depth quantitative analysis to identify trends, strengths, and areas for improvement in strategy performance.
- Translate complex data findings into clear, compelling insights for stakeholders, including traders, developers, and battery operations.
- Improve the quality, accuracy, and accessibility of performance data while identifying gaps in measurement.
- Research emerging market trends and competitor activity to support strategic commercial decision-making.
Requirements
- Experience working with large, complex datasets in data-heavy environments.
- Practical experience in quantitative and statistical work using Python.
- Familiarity with SQL, Git, and CI/CD tools.
- Ability to communicate complex technical findings clearly to both technical and non-technical audiences.
- A proactive mindset with a "simplification instinct" to move from manual workarounds to scalable, automated solutions.
- Must be based in or able to work in a hybrid arrangement in London, UK.
Culture & Benefits
- Mission-driven environment dedicated to decarbonisation and the global energy transition.
- Collaborative "one-team" culture with close interaction between commercial teams, data scientists, and traders.
- Inclusive workplace that values unconventional thinkers and diversity of experience.
- Customisable interview process to ensure accessibility and comfort for all candidates.
- Equal opportunity employer focused on honesty, empathy, and fairness.
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