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- Tasks: Develop real-time electricity price forecasts and solve energy problems through innovative collaboration.
- Company: Join Volcore, a fast-growing scale-up in Manchester's vibrant tech scene.
- Benefits: Enjoy uncapped career development, competitive salary, and a friendly team environment.
- Why this job: Make a real impact on the energy industry while working with cutting-edge technology.
- Qualifications: Strong Python and SQL skills, plus experience in quantitative projects.
- Other info: Be part of a high-performing team that values your ideas and fosters growth.
The predicted salary is between 34000 - 48000 £ 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.
- Strong working understanding of exchange trading and ability to apply fundamental analysis and market microstructure theory to real-world use cases. This must have included at least one substantial quantitative project using real-world data for a short-term use case, especially where this was the result of a passion project or work experience.
- 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. Will need to quickly upskill in Rust and Typescript (with some targeted support from the team) soon after joining if not already familiar.
- Familiarity with model deployment and workflows to maintain models 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: £34,000 + 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.
JUNIOR QUANTITATIVE DEVELOPER in Manchester employer: Volcore
Contact Detail:
Volcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land JUNIOR QUANTITATIVE DEVELOPER in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Volcore. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative projects, especially those using real-world data. This will not only demonstrate your abilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Python, SQL, and any other relevant tech skills. Consider working on small projects or contributing to open-source to keep your skills sharp and show your passion for coding.
✨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 the Volcore team.
We think you need these skills to ace JUNIOR QUANTITATIVE DEVELOPER in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Quantitative Developer role. Highlight relevant projects and skills, especially those involving Python, SQL, and any quantitative work you've done. We want to see how your experience aligns with what we're looking for!
Show Your Passion: Don’t just list your skills; show us your passion for quantitative development! Include any personal projects or experiences that demonstrate your ability to solve real-world problems. We love seeing candidates who are genuinely excited about the field.
Be Clear and Concise: When filling out the application questionnaire, keep your answers clear and to the point. We appreciate straightforward communication, so make sure you articulate your thoughts well. This is your chance to shine, so don’t hold back!
Apply Through Our Website: Remember 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 gives you a chance to explore more about Volcore and what we do!
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 any compiled languages like Rust or Typescript. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of complex mathematical problems you've solved. Highlight any quantitative projects you've worked on, especially those that demonstrate your ability to apply fundamental analysis and market microstructure theory.
✨Communicate Clearly
Practice explaining your thought process and technical concepts in a clear and concise manner. This is crucial for documenting your work and sharing insights with the team, so be ready to demonstrate this skill during the interview.
✨Demonstrate Your Passion
Share your enthusiasm for the energy sector and any personal projects related to electricity markets or data analysis. Showing genuine interest can set you apart and align with Volcore's culture of innovation and impact.