At a Glance
- Tasks: Transform complex data into impactful business strategies and recommendations.
- Company: Join a leading UK financial services and tech organisation.
- Benefits: £55,500 salary, £5,000 joining bonus, hybrid work, and 25 days leave.
- Other info: Dynamic training, mentorship, and opportunities for rapid career progression.
- Why this job: Make a real difference in responsible business growth and customer support.
- Qualifications: STEM or Economics degree, strong quantitative skills, and right to work in the UK.
The predicted salary is between 55500 - 55500 £ per year.
Salary: £55,500 plus a £5,000 joining bonus
Location: London or Nottingham
Working pattern: Hybrid – Tuesday to Thursday in the office, with Monday and Friday available as work-from-home days
Start date: 13 September 2027
Contract: Permanent, full-time
Closing date: Sunday 6 September 2026. Applications are reviewed on a rolling basis and may close earlier.
Sponsorship: Available for eligible candidates who currently have the right to work in the UK, including those on Student or Graduate visas
Turn complex data into influential business decisions. Join a leading UK financial services and technology organisation where data, analytics and customer insight shape major commercial decisions. As a Strategy Analyst Graduate, you’ll help develop strategies that improve products, support customers and drive responsible business growth. You’ll investigate complex challenges, turn analytical insight into clear recommendations, gain support from senior stakeholders and work with cross-functional teams to deliver change. You’ll receive meaningful responsibility from day one, supported by a peer buddy, mentor and manager.
What you could be working on
- Finding innovative ways to attract new customers and ensure products meet their needs
- Redesigning pricing strategies to maximise customer and commercial value
- Creating strategies that help customers manage their finances and build their credit
- Improving fraud prevention and customer protection
- Assessing how lending policies should respond to changing economic conditions
- Analysing customer, commercial and market data
- Presenting evidence-based recommendations to senior stakeholders
- Working with different teams to take ideas from analysis through to implementation
Rotations are a core part of the programme, giving you exposure to different strategic challenges and helping you become a well-rounded analyst and commercial thinker.
Training and development
You don’t need previous coding experience. You’ll receive training in analytical and coding tools before taking ownership of your first project. Technical and personal development will continue throughout your first two years, helping you build your capabilities in data analysis, commercial strategy, problem-solving and communication. High performance is recognised, with opportunities to progress as soon as you’re ready.
Eligibility
To apply, you must:
- Be graduating in 2027 or have graduated during 2026
- Have completed, or be working towards, an undergraduate, Master’s or PhD qualification in a STEM subject or Economics
- Have A-level Maths or an equivalent qualification
- Have strong quantitative and numerical skills
- Currently have the right to work in the UK, including through a Student or Graduate visa
What we’re looking for
We’re interested in how you think, approach problems and communicate your ideas. You should be able to:
- Solve complex business problems using data and logical reasoning
- Work confidently with numbers
- Consider different perspectives before reaching a conclusion
- Communicate complex information clearly
- Collaborate effectively with different teams
- Take ownership of your work and development
- Demonstrate curiosity and a genuine motivation to create business change
What’s included
The benefits package includes:
- A £5,000 joining bonus
- Competitive pension and performance-related bonus schemes
- 25 days’ annual leave, increasing with tenure
- The option to purchase five additional days of annual leave
- Private medical insurance
- A free, fully equipped gym at the Nottingham office
- Structured technical and personal development
- Support from a peer buddy, mentor and manager
- Hybrid working, with two optional work-from-home days each week
The recruitment process
There is no need to tailor your CV or submit a cover letter. The process is expected to include:
- An initial application and eligibility review
- Online behavioural and quantitative testing
- A stage exploring your motivation and interest in the opportunity
- A virtual case-study interview with a Strategy Analyst
- An in-person assessment day featuring a group activity, case study and individual interview
Applications are welcomed from candidates of all backgrounds who meet the eligibility requirements. Women and candidates from groups currently underrepresented within financial services are particularly encouraged to apply. Apply as soon as possible, as applications are reviewed on a rolling basis and the opportunity may close before the advertised deadline.
Dutch | Sustainability Analyst in London employer: GradBay
Join a leading housing provider in Cumbria, where your expertise as a Repairs & Maintenance Surveyor will directly contribute to enhancing the lives of local communities. With a strong focus on employee development, flexible working arrangements, and a supportive work culture, this role offers you the chance to thrive in a meaningful position while enjoying a competitive salary and the opportunity for professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Dutch | Sustainability Analyst in London
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We think you need these skills to ace Dutch | Sustainability Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
