Forecasting Model Developer / Statistician: Electricity Trading

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 including demand and generation, to deliver industry-leading accuracy.

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 forecasters 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.

At least 2 full years of experience in applied time-series forecasting, either professionally or as part of a PhD. Should include novel, practically useful, statistically rigorous work on a previously unsolved problem, especially in terms of accuracy, performance, and maintainability. Experience with real-time and online forecasting, and extracting novel, domain-specific features is particularly relevant.

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 and SQL. It is fine to prefer working in R or other languages, but you must still be confident building useful code quickly and accurately using Python and SQL.

Some applied experience with model deployment, productionisation and compiled languages.

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:

Finance, sports betting or other markets modelling experience.

Meteorological data manipulation and physical systems modelling.

This position typically attracts either strong academic researchers looking for more real-world impact, or forecasting specialists who have outgrown their previous role and are seeking more responsibility or more challenging subject matter.

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.

Apply