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- 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 bonus, tech perks, and paid leave.
- 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 knack for data analysis.
- Other info: Dynamic team environment with opportunities for growth in a rapidly evolving industry.
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\’re combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M 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\’re 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\’re not stopping there. We\’re 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 for office based employees
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Quantitative Researcher employer: Fuse Energy
Contact Detail:
Fuse Energy Recruiting Team
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 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, don’t just mention it—bring examples to the table. Prepare to discuss how you've used these skills in real-world scenarios during interviews.
✨Tip Number 3
Stay updated on market trends! Knowing the latest in power markets and regulatory changes can set you apart. It shows you're not just looking for a job; you're genuinely interested in the industry.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a chance to showcase your enthusiasm for joining a forward-thinking company like Fuse Energy.
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 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 you’re keen on joining our innovative team at Fuse Energy!
How to prepare for a job interview at Fuse Energy
✨Know Your Numbers
As a Quantitative Researcher, you'll need to demonstrate your proficiency in data analysis and statistical modelling. Brush up on key concepts and be ready to discuss specific quantitative models you've developed or worked with. Prepare examples that showcase your ability to translate 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 visualisation. Consider preparing a small project or example that highlights your coding skills 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 how market data influences trading decisions and risk management. Showing that you’re up-to-date with regulatory developments will also impress your interviewers.
✨Collaborate and Communicate
This role involves working closely with engineering and operations teams, so highlight your teamwork and communication skills. Think of examples where you've successfully collaborated on projects, particularly those that required integrating quantitative models into decision-making processes. Being able to convey complex ideas clearly will set you apart.