Energy Trading Strategist
A climate-focused startup aims to accelerate grid decarbonization by leveraging machine learning and real-time energy infrastructure.
This hands-on role will involve shaping trading strategies, influencing electricity consumption, and contributing to a high-impact project.
* You will take ownership of core elements of the trading strategy and system design.
* Build, test, and iterate on predictive models and real-time trading algorithms using diverse datasets.
* Identify new commercial opportunities in existing and emerging energy markets.
* Collaborate with senior stakeholders in a fast-paced environment.
Key Qualifications:
* Strong background in quantitative analysis, data science, or mathematical modeling.
* Experience with time-series data, forecasting, or algorithmic trading is advantageous.
* Proficiency in building production-quality code in Python.
* Passion for working at the intersection of machine learning, energy systems, and environmental impact.
* Motivation for autonomy and collaboration in a dynamic startup culture.
Benefits Include:
* Competitive salary and equity package.
* Central London office with flexible hybrid work arrangements.
* Opportunity to be part of an ambitious startup valuing creativity, initiative, and technical expertise.