Quant Trader

Fuse Energy; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

Fuse Energy seeks a talented Quant Trader to drive analytical functions in the renewable energy sector. You will collaborate closely with the Trading Team, developing advanced analytical tools tailored for the UK power and gas market. This role requires strong programming skills and analytical experience, along with the opportunity to innovate within a dynamic environment.

Benefits

Competitive salary and stock options

Fully expensed tech

28 days paid annual leave

Deliveroo breakfast and dinner for office employees

Qualifications

• 1+ years’ experience in a quant trader or analyst position.
• Strong programming skills in Python.

Responsibilities

• Develop analytical platforms and tools for the Trading Team.
• Conduct time series analysis and data modelling.
• Visualise analysis results using tools like Metabase.

Skills

Programming in Python

Analytical Thinking

Problem Solving

Data Analysis

Education

Bachelor's degree in STEM, Economics, or related field

Tools

Metabase

SQL

Job description

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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 platform.
• Be integrated into the Trading Desk to develop analytical platforms and tools that meet business needs.
• Contribute to the decision making process of the trading strategies.
• Utilise Python for data processing, analysis, and modelling in the Power and Gas market.
• Conduct time series analysis, including data pre-processing, feature extraction, web scraping, model selection, and evaluation.
• Visualise analysis results using tools like Metabase, creating clear and informative dashboards and reports.
• Develop Position Balance, Market stacks, and price forecast models.
• Evaluate and monitor the accuracy and effectiveness of external price forecast models.
• Develop 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 tools.
• Explore innovative ideas using advanced statistical analysis and machine learning techniques to improve forecast inputs and support long-term trading strategies.
• Provide analytical support to the team in the UK.

Requirements

• 1+ years’ experience in a quant trader or analyst position
• Strong programming skills in Python.
• Bachelor's degree in STEM, Economics, or a related field.

Technical requirements

• Proficiency in Python.
• Familiarity with data visualisation tools such as Metabase, capable of creating visually appealing and user-friendly dashboards and reports, familiar with SQL.
• Experience and understanding of time series analysis, including common time series models and algorithms.
• Strong problem-solving skills and analytical thinking, able to independently execute data analysis projects, familiar with advanced statistical analysis methodologies such as PCA.
• Excellent communication and teamwork skills, capable of collaborating effectively with multiple stakeholders.
• Competitive salary and a stock options sign-on bonus
• Fully expensed tech to match your needs!
• 28 days paid annual leave per year
• Deliveroo breakfast and dinner for office based employees