At a Glance
- Tasks: Develop quantitative models and analyse market data to optimise renewable energy performance.
- Company: Join a forward-thinking startup on a mission to revolutionise renewable energy.
- Benefits: Competitive salary, equity bonus, tech allowance, and paid leave.
- Other info: Dynamic environment with opportunities for growth and innovation.
- Why this job: Make a real impact in the renewable energy sector while working with cutting-edge technology.
- Qualifications: 1+ years in quantitative modelling, strong Python skills, and a knack for problem-solving.
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 centers and other energy-intensive industries.
Responsibilities
- Develop and implement quantitative models to support hedging strategies for retail energy supply
- Analyze 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 in London employer: Fuse Energy, LLC
Fuse Energy is an exceptional employer for Quantitative Researchers, offering a dynamic work environment that fosters innovation and collaboration in the renewable energy sector. With competitive salaries, equity bonuses, and a strong focus on employee growth, we empower our team to make a meaningful impact on the future of energy. Our culture encourages creativity and problem-solving, making it an ideal place for those passionate about driving change in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those working at Fuse Energy. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python and quantitative modelling, consider creating a small project or analysis to showcase your abilities. Share it on platforms like GitHub and link it in your application.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of market data and statistical modelling. Be ready to discuss how you would apply these skills to real-world scenarios at Fuse Energy.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Quantitative Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience in quantitative modeling 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 in this field.
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 modeling. 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 that 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 need to demonstrate your understanding of quantitative models and data analysis. Brush up on key statistical concepts 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 crucial for this role, make sure you can talk about your experience with relevant libraries for data analysis and modelling. Consider preparing a small project or example that highlights your coding skills, especially if it relates to energy or market data.
✨Stay Updated on Market Trends
Fuse Energy is all about staying ahead in the renewable energy sector. Familiarise yourself with current trends in power markets, pricing, and regulatory developments. Being able to discuss recent news or changes in the industry will show your genuine interest and commitment to the field.
✨Collaborate and Communicate
This role involves working closely with engineering and operations teams. Be prepared to discuss how you’ve successfully collaborated in the past. Highlight your communication skills and how you can convey complex ideas clearly to non-technical stakeholders, as this will be key in integrating your models into decision-making processes.
