Quantitative Analyst - Energy Forecasting & Market Insight

Drax; Stowmarket; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private Healthcare

SAYE (Sharesave)

Personal accident cover

Group pension up to 10%

Holiday 25 days + bank holidays

Professional body membership refund

Job summary

Drax is seeking a Quantitative Analyst to join the Forecasting & Hedging Team in Ipswich or London. You will build forecasting models for import/export portfolios, apply statistical and machine learning techniques, and deliver automated reporting and visualisations to support decision-making.

You will collaborate with Commercial, Renewables and Finance teams, lead code reviews and contribute to new forecasting capabilities across power demand, weather, pricing and portfolio optimisation.

Qualifications

• Strong quantitative and analytical skills with numerate degree.
• Experience with Python and SQL in energy or analytics roles.
• Ability to develop robust forecasting models and supportive dashboards.

Responsibilities

• Develop, maintain and enhance forecasting models across portfolios.
• Research and implement statistical, ML and optimisation techniques for forecast accuracy.
• Lead peer reviews of code, models and methodologies to ensure quality.
• Design automated reporting, dashboards and visualisations in Python, SQL and Power BI.
• Provide ad-hoc quantitative analysis to support Commercial, Renewables and Finance.

Skills

Quantitative analysis

Python

SQL

Power BI

Education

Mathematics/Statistics/Engineering/Economics degree

Tools

Python

SQL

Power BI

Job description

Drax is seeking a Quantitative Analyst to join the Forecasting & Hedging Team in Ipswich or London. You will build forecasting models for import/export portfolios, apply statistical and machine learning techniques, and deliver automated reporting and visualisations to support decision-making.

You will collaborate with Commercial, Renewables and Finance teams, lead code reviews and contribute to new forecasting capabilities across power demand, weather, pricing and portfolio optimisation.