Junior Quantitative Developer
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.
This role is perfect for skilled quantitative researchers who enjoy tackling challenges end-to-end.
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 include 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.
The following are not essential, but you will benefit from highlighting any relevant experience:
-
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.