Additionalinformation

Additional Information

What to expect from us?

• A friendly culture that reflects our proposition to customers.
• A fast-growing organization that defines itself as agile and innovative.
• A drive for continuous improvement, which will give you the opportunity to support from day one.
• A commitment to building a work environment that values inclusivity, innovation, agility and grit.

And, of course, competitive pay, a potential bonus, and a good range of basic benefits.

#LI-JW1

Diversity, Equality & Inclusion at Radius

Our global DEI networks champion LGBTQ+ inclusion, cultural diversity, women’s empowerment and mental health, neurodiversity and disability support.

We also offer:

• Global Female Health Policy & Female Health Champions
• Pregnancy Loss and Fertility Treatment Policies
• Endometriosis Friendly Employer (UK)
• Women-focused gym & female health events
• Mental Health First Aiders
• Disability Confident Committed Employer (Level 2)
• Race at Work Charter signatory
• Proud sponsor of Crewe Pride (5 years running) and Cheshire Pride Awards Corporate Supporter 2025
• Community network driving charity and volunteering initiatives, with 8 consecutive years of participation in the UK Challenge.
• Give as you earn scheme (payroll giving) and match funding

Next Steps

If you feel we are a good match for each other, you can apply online now!

If you’d like to understand more about the role or life at Radius before applying, then please contact our talent team directly.

Radius is an equal opportunities employer. We are committed to welcome people regardless of age, disability, gender identity, race, faith or belief, sexual orientation or socioeconomic background.

We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any adjustments or accommodations at any stage of the process, please let us know, and we will do our best to support you.

We reserve the right to close a vacancy before the closing date in the event of an overwhelming response or a change in business priorities.

Note to recruitment agencies:

We do not accept speculative recruitment agency CVs or profiles. Any unsolicited CV received by Radius will be treated as a gift and not eligible for an agency fee.

PSL agencies should only send CVs via our Applicant Tracking System, when approved to do so by the Radius Talent Team.

Companydescription

Company Description

We’re an ambitious, forward-thinking global business who build transformative solutions for our customers to deliver best-in-class sustainable mobility, connectivity, and technology solutions. We support our customers with a range of products and services to meet their needs.

Since 1990 our ambition has never wavered. From humble beginnings, our vision and drive has seen us venture into new markets with confidence and stay ahead of market trends. Our mission is to help businesses of all sizes adapt to the future and take advantage of the opportunities that change brings. Sustainability is at the core of our offering. With our leading e-mobility solutions, we’re committed to guiding businesses through the energy transition, building solutions for a more sustainable, connected future.

Jobdescription

Job Description

As Graduate Credit Risk Analyst, you’ll join our Credit Insights & Reporting team as a data analyst. You’ll use SQL, Python and Tableau to turn large volumes of customer and portfolio data into clear insight that helps the business manage credit risk. This is a data and analytics role, not a credit vetting or underwriting role: you won’t be assessing individual customer applications. It is also a business partnering role from day one: you’ll work alongside one of our business divisions, help them understand what the data is telling them and support better decisions. With structured training and support from experienced analysts, you’ll build the technical and commercial skills to grow your career in both data analytics and credit risk. Success is measured by the quality of your insight and how well you help people use it, not by the volume of reports produced.

Your week will include writing SQL queries, building and maintaining reports and dashboards in Excel, Tableau and Python, and investigating trends in portfolio performance, defaults, recoveries and bad debt. You’ll also work closely with operational and commercial teams, sharing your findings and turning data into clear, practical recommendations. You’ll be based in our Crewe office, Monday to Friday, 8.30am to 5pm.

Your daily responsibilities will be...

• Business partnering: Build strong working relationships with the operational and commercial teams in your division, learning their goals and how credit insight can help them.
• Communication: Explain findings clearly and simply, in writing and in person, to colleagues who are not data specialists.
• Reporting: Produce, maintain and improve regular credit reporting, making sure it is accurate, on time and useful.
• Automation: Learn to build automated reporting using Python, SQL and Tableau, with support from senior analysts and heads of department.
• Insight: Analyse large datasets to find trends and changes in portfolio performance, defaults, recoveries and bad debt, and explain what is driving them.
• Learning: Grow your coding and data skills alongside your knowledge of credit risk and our products, and bring curiosity and new ideas to the team.

Qualifications

Essential:

• Educated to degree level with a minimum 2:2 (Lower Second Class Honours), or on track to achieve this.
• Strong communication skills, with the confidence to explain numbers clearly to people at all levels.
• Enjoys working with people and building relationships across different teams.
• Good working knowledge of Excel and confidence working with large sets of data.
• A curious, analytical mindset and a genuine passion for working with data to solve business problems.
• Strong attention to detail and pride in producing accurate work.
• Keen to learn, act on feedback and develop technical skills such as SQL, Tableau and Python.

Desirable:

• Has a degree in data analytics, data science, maths, statistics, economics, finance or similar.
• Experience of SQL, Tableau, Power BI, Python or similar, through study, projects or work.
• Work experience, an internship or a placement in a business setting, ideally in data or analytics.