Energy Markets Quant: Forecasting & Analytics

Drax; Sudbury; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Discretionary bonus

Private Healthcare

SAYE scheme

Personal accident cover

Group personal pension up to 10%

Holiday 25 days + bank holidays

Professional body membership reimburse

Job summary

Drax is seeking a Quantitative Analyst to join the Forecasting & Hedging Team in the UK. The role focuses on developing forecasting models for import/export portfolios, applying statistical and ML methods, and delivering automated reporting and dashboards to support commercial decisions.

The ideal candidate will have a numerate degree, strong Python/SQL skills, and experience in energy markets or similar analytical roles. Collaboration across teams and clear communication are essential.

Qualifications

• Degree in Mathematics, Statistics, Engineering, Physics, Economics or other numerate discipline.
• Experience with Python and SQL.
• Strong quantitative and analytical problem-solving abilities.

Responsibilities

• Develop, maintain and enhance forecasting models for import/export portfolios.
• Research, evaluate and implement statistical, machine learning and optimisation techniques to improve forecast accuracy and value.
• Lead peer reviews of code, models and methodologies.
• Design and deliver automated reporting, dashboards and visualisations using Python, SQL and Power BI to support portfolio monitoring and decision-making.
• Provide ad-hoc quantitative analyses to support Commercial, Renewables, Strategy and Finance.
• Contribute to development of new forecasting capabilities across demand, generation, weather, pricing and portfolio optimisation.
• Build and maintain scalable data processing and automation pipelines for forecasting workflows.

Skills

Quantitative skills

Python

SQL

Stakeholder management

Education

Numerate degree

Tools

Power BI

Job description

Drax is seeking a Quantitative Analyst to join the Forecasting & Hedging Team in the UK. The role focuses on developing forecasting models for import/export portfolios, applying statistical and ML methods, and delivering automated reporting and dashboards to support commercial decisions.

The ideal candidate will have a numerate degree, strong Python/SQL skills, and experience in energy markets or similar analytical roles. Collaboration across teams and clear communication are essential.