At a Glance
- Tasks: Develop and implement quantitative models for renewable energy trading and risk management.
- Company: Join Fuse Energy, a cutting-edge renewable energy startup on a mission to revolutionise energy systems.
- Benefits: Enjoy competitive salary, equity bonuses, tech perks, and meal allowances.
- Other info: Dynamic startup environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in the renewable energy sector while working with innovative technology.
- Qualifications: 1+ years in quantitative modeling, strong Python skills, and a passion for data analysis.
The predicted salary is between 36000 - 60000 £ per year.
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We are combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We are creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we are not stopping there. We are also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centres and other energy-intensive industries.
Responsibilities
- Develop and implement quantitative models to support hedging strategies for retail energy supply
- Analyse market data to optimize the performance of physical assets such as solar and wind farms
- Conduct statistical and scenario-based modeling to inform trading and risk management decisions
- Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities
- Collaborate with engineering and operations teams to integrate models into day-to-day decision-making
Qualifications
- 1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics
- Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization
- Solid understanding of statistical modeling, optimization, and analysis techniques
- Experience working with time series or market data, preferably in energy or commodities markets
- Strong problem-solving skills and the ability to translate complex data into actionable insights
Benefits
- Competitive salary and an equity sign-on bonus
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Paid annual leave
- Breakfast and dinner allowance for office based employees
Quantitative Researcher employer: Fuse Energy, LLC
Fuse Energy is an exceptional employer for Finance Interns, offering a dynamic and innovative work environment in the heart of Canary Wharf, London. With a strong focus on employee growth, interns will gain invaluable experience in a high-performance startup while enjoying competitive salaries, fully expensed tech, and allowances for meals. The collaborative culture fosters teamwork and initiative, making it an ideal place for ambitious individuals to thrive and contribute to a mission-driven company at the forefront of renewable energy.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those at Fuse Energy. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your quantitative modelling and data analysis abilities. This is your chance to demonstrate how you can contribute to cutting-edge projects.
✨Tip Number 3
Stay updated on market trends! Knowing the latest in power markets and regulatory changes will not only impress but also help you speak confidently during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our mission.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience in quantitative modelling and data analysis, especially in energy or trading. We want to see how your skills align with our mission at Fuse Energy!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about renewable energy and how your background makes you a perfect fit for our team. Let us know what excites you about working with cutting-edge technology.
Showcase Your Technical Skills:Since we're looking for someone with strong Python skills, make sure to mention any relevant projects or experiences where you've used Python for data analysis or modelling. We love seeing practical examples of your work!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our innovative team at Fuse Energy!
How to prepare for a job interview at Fuse Energy, LLC
✨Know Your Numbers
As a Quantitative Researcher, you'll be expected to have a solid grasp of quantitative models and data analysis. Brush up on your statistical modelling techniques and be ready to discuss how you've applied them in previous roles. Prepare examples that showcase your problem-solving skills and how you’ve translated complex data into actionable insights.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must, make sure you can talk about your experience with relevant libraries for data analysis and visualisation. Consider preparing a small project or example that demonstrates your coding abilities and how you've used Python to solve real-world problems in energy or trading.
✨Understand the Energy Market
Familiarise yourself with current trends in the renewable energy sector, especially around solar and wind markets. Be prepared to discuss recent developments and how they might impact trading strategies. This shows your genuine interest in the field and helps you connect your skills to the company's mission.
✨Collaborate and Communicate
Collaboration is key in this role, so think about how you can demonstrate your ability to work with engineering and operations teams. Prepare to share examples of past teamwork experiences and how you effectively communicated complex ideas to non-technical stakeholders. This will highlight your interpersonal skills and adaptability.
