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- Tasks: Transform data into insights that influence 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.
- Other info: Inclusive workplace committed to diversity and career progression.
- 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.
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 employer: Arkle Finance Limited
Contact Detail:
Arkle Finance Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Arkle Finance on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL, Excel, and Power BI skills. Be ready to showcase how you've turned data into insights in past roles – real examples will make you stand out!
✨Tip Number 3
Don’t forget to highlight your understanding of the Consumer Credit Act and your experience with credit risk analytics. This shows you’re not just a numbers person but also understand the industry landscape.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Arkle Finance.
We think you need these skills to ace Credit Risk Analyst
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 what we’re looking for at Arkle. Keep it concise but impactful!
Showcase Your Technical Skills: Since this role involves working with large datasets, make sure to detail your technical skills clearly. Mention your familiarity with credit bureaus and any experience with Python or similar tools to stand out from the crowd.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Arkle Finance Limited
✨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 serious about the role. Prepare to discuss how external data sources like credit bureaus can impact lending decisions.
✨Showcase Your Communication Skills
Since you'll be working with senior stakeholders, practice explaining complex data insights in a clear and concise manner. Think of examples where you've successfully communicated findings to non-technical audiences, as this will demonstrate your stakeholder management skills.
✨Be Ready for Problem-Solving
Expect questions that assess your analytical thinking and problem-solving abilities. Prepare to discuss how you've kept monitoring processes running smoothly and any improvements you've suggested in previous roles. Highlighting your proactive approach will set you apart from other candidates.