Quant Trader

At Fuse, we're driven by a bold mission: to make renewable energy accessible for all. Our commitment to transparency, innovation, and sustainability fuels every step we take. We've raised $78 million from top-tier investors who share our vision, and now we're seeking a talented Intraday Power Trader to join us in transforming the renewable energy landscape. Your Role: As a Quant Trader at Fuse, you will be at the forefront of building our power and gas analytical function and strategies, revolutionising how we understand and shape the renewable energy market.

Your analytical prowess will be put to the test as you develop cutting-edge analytical tools tailored to the UK power and gas market. Your contributions will be essential to the development of our stack model, balance model, margin-based model, and price analysis tools. Responsibilities:

Collaborate with the Trading Team to understand and address their requirements for the analytics platformBe integrated into the Trading Desk to develop analytical platforms and tools that meet business needsContribute to the decision making process of the trading strategiesUtilise Python for data processing, analysis, and modelling in the Power and Gas marketConduct time series analysis, including data pre-processing, feature extraction, web scraping, model selection, and evaluationVisualise analysis results using tools like Metabase, creating clear and informative dashboards and reportsDevelop Position Balance, Market stacks, and price forecast modelsEvaluate and monitor the accuracy and effectiveness of external price forecast modelsDevelop analytics related to Power and Gas fundamentals, such as system margin analysis, spark and dark spread analysis, fuel cost adjustment forecast, maintenance program adjusted system availability, sensitivity and price visualisation toolsExplore innovative ideas using advanced statistical analysis and machine learning techniques to improve forecast inputs and support long-term trading strategiesProvide analytical support to the team in the UKRequirements1+ years' experience in a quant trader or analyst positionStrong programming skills in PythonBachelor's degree in STEM, Economics, or a related fieldTechnical RequirementsProficiency in PythonFamiliarity with data visualisation tools such as Metabase, capable of creating visually appealing and user-friendly dashboards and reports, familiar with SQLExperience and understanding of time series analysis, including common time series models and algorithmsStrong problem-solving skills and analytical thinking, able to independently execute data analysis projects, familiar with advanced statistical analysis methodologies such as PCAExcellent communication and teamwork skills, capable of collaborating effectively with multiple stakeholdersBenefitsCompetitive salary and a stock options sign-on bonusBiannual bonus schemeFully expensed tech to match your needs!28 days paid annual leave per yearDeliveroo breakfast and dinner for office based employees