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- Tasks: Transform data into insights that drive lending and pricing decisions.
- Company: Join Arkle Finance, a growing asset finance lender with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in a hands-on role while developing your technical skills.
- Qualifications: Experience in credit risk analytics, strong Excel and SQL skills required.
- Other info: Inclusive workplace committed to diversity and career progression.
The predicted salary is between 38000 - 42000 £ per year.
If you enjoy turning data into insight that shapes real decisions, this role gives you room to grow, learn and make a visible difference. You will turn data into insight that shapes how Arkle makes lending, pricing and portfolio decisions. Working with large datasets, you’ll build clear analysis for senior stakeholders and keep core monitoring processes running smoothly. It’s a hands‑on role in a small, collaborative team where your work has visible impact, your technical skills will grow and there’s a clear pathway to progress within the credit function. Hours of work are 9am to 5pm Monday to Friday with the flexibility to work from home 2 days a week.
What you’ll do:
- Extract and manipulate large datasets using SQL, Excel and Power BI.
- Turn raw data into insight that supports senior decision‑making.
- Keep established monitoring processes running well and suggest improvements.
- Develop portfolio analysis, stress testing and risk trend reporting.
- Track broker and customer behaviour to identify shifts early.
What you’ll bring:
- Meaningful hand‑on experience in credit risk analytics or business analytics.
- Understanding of asset finance, motor finance or consumer credit, plus working knowledge of the Consumer Credit Act and CONC.
- Familiarity with external data sources such as credit bureaus and fraud data.
- Strong Excel and Power BI skills, with the ability to work with large datasets, automate parts of reporting and produce clear visual outputs.
- Experience using SQL and ideally Python or similar tools.
- A numerate degree.
- Clear communication and stakeholder management skills.
Who we are:
Arkle Finance is an ambitious and growing asset finance lender supporting more than 5,000 individuals and businesses. We offer clear and reliable finance solutions and work closely with our introducers and clients to provide a friendly and consistent service. We are now in year two of our five‑year growth plan. With our infrastructure renewed and strong backing from the Weatherbys Banking Group, we are focused on sustainable growth and creating long‑term value for our customers and our people.
Our commitment to inclusion:
At the Weatherbys Banking Group, we’re committed to building a diverse and inclusive workplace where everyone feels respected, supported, and empowered to thrive. We believe that different perspectives and lived experiences make us stronger, and we actively welcome applications from people of all backgrounds and communities. As a proud Disability Confident Committed employer, we’re dedicated to creating an environment that’s accessible and inclusive for all. If you have a disability and meet the minimum criteria for the role, you’ll be guaranteed an interview. If you need any adjustments during the recruitment process, please let us know we are here to support you.
Credit Risk Analyst in Wellingborough employer: Arkle Finance
Contact Detail:
Arkle Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst in Wellingborough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills with real examples. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and make a lasting impression.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for the latest job openings! We’re always looking for talented individuals like you, and applying directly through us can give you a better chance of standing out in the crowd.
We think you need these skills to ace Credit Risk Analyst in Wellingborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Credit Risk Analyst. Highlight your experience with SQL, Excel, and Power BI, and don’t forget to mention any relevant projects that showcase your ability to turn data into insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk analytics and how your skills align with our needs at Arkle. Keep it concise but impactful!
Showcase Your Technical Skills: We love seeing candidates who can demonstrate their technical prowess. Include specific examples of how you've used SQL or automated reporting in past roles. This will help us see your hands-on experience in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Arkle!
How to prepare for a job interview at Arkle Finance
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles to extract and manipulate large datasets. Having specific examples of how your analysis has influenced decision-making will really impress.
✨Understand the Industry
Familiarise yourself with asset finance, motor finance, and consumer credit. Knowing the ins and outs of the Consumer Credit Act and CONC will show that you're not just a numbers person but also understand the context behind the data. This knowledge can set you apart from other candidates.
✨Communicate Clearly
Since you'll be working with senior stakeholders, practice explaining complex data insights in simple terms. Think about how you can present your findings visually and verbally. Clear communication is key, so consider preparing a few examples of how you've successfully communicated data insights in the past.
✨Show Your Collaborative Spirit
Arkle values teamwork, so be prepared to discuss how you've worked in collaborative environments before. Share examples of how you've contributed to team projects or improved processes. Highlighting your ability to work well with others will demonstrate that you're a good fit for their small, hands-on team.