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- Tasks: Develop real-time electricity price forecasts and solve energy problems through innovative collaboration.
- Company: Join a fast-growing scale-up in Manchester with a focus on renewable energy.
- Benefits: Competitive salary, bonus scheme, and uncapped career development opportunities.
- Other info: Enjoy a friendly team environment with minimal bureaucracy and plenty of growth potential.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology.
- Qualifications: 2+ years in real-time systems; strong Python, SQL, and coding skills required.
The predicted salary is between 40000 - 55000 £ per year.
At Volcore, our team of wholesale electricity traders and technical experts work together to make real-time decisions that support increasing renewable generation and keep the electricity system stable. We are a profitable and ambitious scale-up, with several full-time, on-site openings in our technical team to underpin our rapid growth.
LOCATION: Manchester City Centre, On-site
EMPLOYMENT TYPE: Permanent Full-Time
What You’ll Do:
- Develop real-time forecasts of electricity prices and their drivers (fundamental and, to a lesser extent, technical).
- Solve real-world energy problems, often requiring novel approaches developed through team collaboration and original research.
- Identify and ingest relevant data, ensuring thorough documentation in our internal knowledge base.
- Iteratively and rapidly test hypotheses and develop proof-of-concepts to solve real-time forecasting problems.
- Document and visualise results, sharing insights with the team.
- Develop, deploy and maintain forecasting pipelines with a focus on speed and accuracy.
- Continually improve our shared libraries and workflows to ensure they are fast, accurate and a delight to use.
- Role model and advise on best practices and become a trusted expert in the topics you work most deeply on.
Why Volcore?
- Uncapped career development: Deliver value, and you’ll be recognised and rewarded, regardless of title or experience. We offer continuous opportunities for growth and new challenges.
- Fast-growing scale-up: We’re a profitable, ambitious company on a rapid growth trajectory, giving you the opportunity to play a key role in shaping our future.
- Impactful problem solving: You will be trusted with significant projects that can immediately, visibly affect our success and the industry more broadly, leading to innovative solutions in areas that haven’t been tackled before.
- Minimal bureaucracy: Your ideas and feedback matter. We prioritise time for you to focus on what you do best, while still providing support from the wider team.
- Modern tech stack: Including Python, Node JS / Typescript, PostgreSQL, DuckDB and Rust.
- Colleagues instead of customers: Everything you build will be used by people sitting next to you.
- High-performing, friendly team: Work alongside bright, driven people who are trusted to deliver and enjoy socialising after a successful day.
About You:
- Electricity markets experience is not required, but is a strong plus. Either way, you must quickly learn new concepts and think independently; this is one of the most fun parts of the role.
- At least 2 full years of applied experience developing real-time systems and analysis in one or more financial markets. This can include non-traditional markets, like ad-bidding, sports betting and prediction markets.
- This must have included developing novel signals and implementing them in a production environment to deliver a useful, real-world result.
- Proven ability to solve complex, real-world mathematical problems, including selecting and implementing the right algorithms, and delivering clean, efficient, and reliable code.
- Strong working fluency in Python, SQL and at least one compiled, lower-level language. You will need to be able to develop in Rust and Typescript soon after joining if not already familiar.
- Familiarity with model deployment and how to maintain a model in production.
- The ability to document and communicate your thinking clearly, including in our knowledge base, notebooks, comments and code itself.
- Ownership of projects from start to finish, with intrinsic drive to deliver high-quality work quickly.
- By the time this role commences, be eligible to live and work full-time in the UK.
- Meteorological data manipulation and physical systems modelling.
Starting salary: £40,000 to £55,000 depending on experience + participation in our bonus scheme for high-performers.
To apply, please:
- Submit your CV, highlighting how your experience meets the requirements for this role.
- Complete the short application questionnaire.
Thank you for reading this far. We look forward to hearing from you.
QUANTITATIVE DEVELOPER employer: Volcore
Contact Detail:
Volcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QUANTITATIVE DEVELOPER
✨Tip Number 1
Get to know the company inside out! Research Volcore's projects, values, and team culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and real-time systems knowledge. Practice solving problems on platforms like LeetCode or HackerRank to get into the right mindset.
✨Tip Number 4
Don’t forget to showcase your passion for renewable energy and innovative problem-solving! During interviews, share examples of how you've tackled complex challenges in the past and how you can bring that experience to Volcore.
We think you need these skills to ace QUANTITATIVE DEVELOPER
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with real-time systems and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; demonstrate how you've used them to solve complex problems. Share specific examples where you developed novel solutions or improved existing processes. This will help us see your potential impact at Volcore.
Be Clear and Concise: When filling out the application questionnaire, keep your answers clear and to the point. We appreciate straightforward communication, so make it easy for us to understand your thought process and experiences.
Apply Through Our Website: We encourage you to apply directly 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 team!
How to prepare for a job interview at Volcore
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, SQL, and Rust. Be ready to discuss your experience with these languages and how you've used them in real-time systems or financial markets.
✨Showcase Problem-Solving Skills
Prepare examples of complex problems you've solved in previous roles. Highlight your approach to developing novel signals and implementing algorithms, as this will demonstrate your ability to tackle the real-world energy problems Volcore faces.
✨Communicate Clearly
Practice explaining your thought process and technical decisions clearly. Since documentation is key at Volcore, be prepared to discuss how you document your work and share insights with your team.
✨Emphasise Collaboration
Volcore values teamwork, so be ready to talk about how you've collaborated with others in past projects. Share specific instances where your contributions led to successful outcomes, showcasing your ability to work well in a high-performing team.