QUANTITATIVE DEVELOPER in Manchester

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.