Quantitative Analyst

Drax Group; Ipswich; On-site; Confidential; Full time

Benefits offered by this job

Discretionary bonus

Private Healthcare

SAYE

Personal accident cover

Group pension up to 10%

25 days holiday + bank holidays

Professional body membership reimburse

Job summary

Drax Group in Ipswich and London is looking for a Quantitative Analyst to join the Forecasting & Hedging Team. You will develop forecasting models across import (consumption) and export (renewable generation) portfolios and provide data-driven insights to support commercial decisions.

You will apply statistical, machine learning and optimisation techniques, lead code reviews, and deliver automated reporting and visualisations using Python, SQL and Power BI.

Qualifications

• A quantitative degree and strong analytical skills are required.
• Experience with Python and SQL is preferred.
• Knowledge of Power BI or similar visualization tools is advantageous.

Responsibilities

• Develop, maintain and enhance forecasting models across import (consumption) and export (renewable generation) portfolios.
• Research, evaluate and implement statistical, machine learning and optimisation techniques to improve forecast accuracy and commercial value.
• Lead peer reviews of code, model changes and analytical methodologies, ensuring high standards of quality and best practice.
• Design and deliver automated reporting, dashboards and visualisations using Python, SQL and Power BI to support portfolio monitoring and informed decision-making.
• Provide ad-hoc and time-critical quantitative analysis to support Commercial, Renewables, Strategic Sales, Finance and other business areas.
• Contribute to the development of new forecasting capabilities across power demand, renewable generation, weather, pricing and portfolio optimisation.
• Build and maintain scalable data processing and automation pipelines to support forecasting and analytical workflows.
• Maintain awareness of industry developments, regulatory changes and emerging analytical techniques relevant to the UK energy market.

Skills

Quantitative skills

Python

SQL

Power BI

Stakeholder comms

Education

Mathematics/Statistics/Engineering/Physics/Economics degree

Tools

Python

SQL

Power BI

Job description

QuantitativeAnalyst
Permanent
Ipswich/London
CLOSINGDATE– 16 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 of the 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.

We reserve the right to close roles early when the particular role and /or location has had sufficient applications.