Quantitative Analyst

Drax; Woodbridge; On-site; GBP 60,000 - 85,000; Full time

Benefits offered by this job

Discretionary bonus

Private Healthcare

SAYE (Sharesave) scheme

Personal accident cover

Group personal pension up to 10%

Holiday 25 days + bank holidays

Professional body membership re-imburs

Job summary

Drax is seeking a Quantitative Analyst to join the Forecasting & Hedging Team in Ipswich/London. You will develop forecasting models for energy portfolios, apply statistical and ML techniques, and deliver automated dashboards to support decision-making.

Ideal candidates hold a numerate degree and 2+ years in a relevant analytics role, with proficiency in Python and SQL. The role offers progression in a leading sustainability-focused energy company and a strong benefits package.

Qualifications

• Strong quantitative and analytical skills with a numerate degree.
• Experience in analytical or energy industry roles (2+ years) preferred.
• Proficiency in Python and SQL for modelling and data manipulation.
• Comfort with building automated reporting and dashboards.

Responsibilities

• Develop, maintain and enhance forecasting models across import (consumption) and export (renewables) portfolios.
• Research and implement statistical, machine learning and optimisation techniques to improve forecast accuracy and value.
• Lead peer reviews of code, models and methodologies to ensure high quality.
• Design and deliver automated reporting, dashboards and visualisations using Python, SQL and Power BI.
• Provide ad-hoc quantitative analysis to support Commercial, Renewables, Strategy and Finance.
• Contribute to development of new forecasting capabilities across power demand, renewable generation, weather, pricing and portfolio optimisation.
• Build and maintain scalable data processing and automation pipelines for forecasting workflows.
• Stay aware of industry developments and regulatory changes in the UK energy market.

Skills

Quantitative analysis

Statistical methods

Python

SQL

Education

Math/Stats/Eng/Physics/Economics degree

Tools

Python

SQL

Power BI

Job description

QuantitativeAnalyst
Permanent
Ipswich/London
CLOSINGDATE– 23 September

Who weare:

We're notjust talking about making a difference, we're making it happen. We generatedispatchable, renewable power and create stable energy in an uncertain world.Building on our proud heritage, we have ambition to become the global leader insustainable biomass and carbon removals.

You'll bejoining our teams of practical doers, future thinkers and business champions.We're enabling a zero carbon, lower cost energy future for all, and workinghard to decarbonise the planet for generations to come.

About therole:

As part ofthe Forecasting & Hedging Team, you will;

• Develop, maintain and enhanceforecasting models across import (consumption) and export (renewablegeneration) portfolios.
• Research, evaluate and implementstatistical, machine learning and optimisation techniques to improveforecast accuracy and commercial value.
• Lead peer reviews of code, modelchanges and analytical methodologies, ensuring high standards of qualityand best practice.
• Design and deliver automatedreporting, dashboards and visualisations using Python, SQL and Power BI tosupport portfolio monitoring and informed decision-making.
• Provide ad-hoc and time-criticalquantitative analysis to support Commercial, Renewables, Strategic Sales,Finance and other business areas.
• Contribute to the development ofnew forecasting capabilities across power demand, renewable generation,weather, pricing, and portfolio optimisation.
• Build and maintain scalable dataprocessing and automation pipelines to support forecasting and analyticalworkflows.
• Maintain awareness of industrydevelopments, regulatory changes and emerging analytical techniquesrelevant to the UK energy market.

Who we’relooking for:

To besuccessful in this role You'll ideally have…

• Strong quantitative andanalytical skills, supported by a degree in Mathematics, Statistics,Engineering, Physics, Economics or another relevant numerate discipline.
• A good understanding ofwholesale electricity markets and industry fundamentals, or the ability todevelop this knowledge quickly. Ideally, you'll have at least two years'experience in a relevant analytical or energy industry role and experienceof using Python & SQL.
• Strong problem-solving skills,with the ability to use data and modelling techniques to developstructured, practical solutions that deliver commercial value.
• Excellent communication andstakeholder management skills, with the ability to explain complextechnical concepts clearly and work effectively across teams and projects.

Rewardsand benefits:

As you helpus to shape the future, we've shaped our rewards and benefits to help youthrive and support yourlifestyle. If successful in this role you'll get:

• A discretionary bonus dependingon company performance
• Private Healthcare
• SAYE (Sharesave): discretionaryscheme from time to time
• Personal accidentcover
• Group personal pension planwhere we'll pay up to 10%
• Holiday 25 days plus bankholidays
• Reimbursement of the cost ofyour annual membership of one relevant and appropriate professionalbody

We'recommitted to making a tangible impact on the climate challenge we all face.Drax is where your individual purpose can work alongside your career drive. Wework as part of a team that shares a passion for doing what's right for thefuture. With Drax you can shape your career and a future for generations tocome.

Together,we make it happen.

At Drax,We're committed to fostering an environment where everyone feels valued andrespected, regardless of their role. To make this a reality, we actively workto better represent the communities we operate in, foster inclusion, andestablish fair processes. Through these actions, we build the trust neededforall colleagues at Drax to contribute their perspectives and talents, no mattertheir background.