Quantitative
Analyst
Permanent   
Ipswich/London
CLOSING
DATE – 16 September

Who we
are:  

We’re not
just talking about making a difference, we’re making it happen. We generate
dispatchable, renewable power and create stable energy in an uncertain world.
Building on our proud heritage, we have ambition to become the global leader in
sustainable biomass and carbon removals.  

You’ll be
joining our teams of practical doers, future thinkers and business champions.
We’re enabling a zero carbon, lower cost energy future for all, and working
hard to decarbonise the planet for generations to come. 

About the
role: 

As part of
the Forecasting & Hedging Team, you will;
- 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.

Who we’re
looking for: 

To be
successful in this role you’ll ideally have…  
- Strong quantitative and
analytical skills, supported by a degree in Mathematics, Statistics,
Engineering, Physics, Economics or another relevant numerate discipline.
- A good understanding of
wholesale electricity markets and industry fundamentals, or the ability to
develop this knowledge quickly. Ideally, you’ll have at least two years’
experience in a relevant analytical or energy industry role and experience
of using Python & SQL.
- Strong problem-solving skills,
with the ability to use data and modelling techniques to develop
structured, practical solutions that deliver commercial value.
- Excellent communication and
stakeholder management skills, with the ability to explain complex
technical concepts clearly and work effectively across teams and projects.
Rewards
and benefits: 

As you help
us to shape the future, we’ve shaped our rewards and benefits to help you
thrive and support  
your
lifestyle. If successful in this role you’ll get:  
- A discretionary bonus depending
on company performance  
- Private Healthcare
- SAYE (Sharesave): discretionary
scheme from time to time 
- Personal accident
cover  
- Group personal pension plan
where we’ll pay up to 10%  
- Holiday 25 days plus bank
holidays  
- Reimbursement of the cost of
your annual membership of one relevant and appropriate professional
body 
We’re
committed to making a tangible impact on the climate challenge we all face.
Drax is where your individual purpose can work alongside your career drive. We
work as part of a team that shares a passion for doing what’s right for the
future. With Drax you can shape your career and a future for generations to
come. 

Together,
we make it happen. 

At Drax,
we’re committed to fostering an environment where everyone feels valued and
respected, regardless of their role. To make this a reality, we actively work
to better represent the communities we operate in, foster inclusion, and
establish fair processes. Through these actions, we build the trust needed for
all colleagues at Drax to contribute their perspectives and talents, no matter
their background.

How to
apply: 

Think this
role’s for you? Click the ‘apply now’ button to begin your Drax
journey.  
We
understand that you may have some additional questions about the role. If you’d
like to have a confidential chat to discuss the role in more detail, please
email ##### 

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