Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of credit risk models and decisioning strategies using data analytics.
- Company: Join a reputable fintech in Nottingham focused on ethical lending and customer support.
- Benefits: Enjoy a salary up to £65,000, generous holiday allowance, and flexible working options.
- Why this job: Make a real impact on lending decisions while working in a collaborative and supportive culture.
- Qualifications: 5+ years in the financial industry with strong skills in Python, R, SQL, and data analysis.
- Other info: No sponsorship offered; applicants must have the right to work in the UK.
The predicted salary is between 39000 - 65000 £ per year.
Opportunity for a Credit Risk Manager to join a up and coming fintech in Nottingham. Salary up to £65,000 + fantastic benefits including a generous holiday allowance, collaborative working culture, flexible working and much more.
WHO ARE WE?
We're a well-established UK based direct lender with a strong reputation for supporting people through life's unexpected financial moments. For over a decade, our team has been dedicated to offering fair, transparent, and responsible lending. We pride ourselves on our ethical approach, taking the time to assess each customer's needs individually, no one-size-fits-all. If you're looking to join a supportive, customer-focused company where your work genuinely makes a difference, we'd love to hear from you.
WHAT WILL YOU BE DOING?
In this role, you'll lead the development of credit risk models and decisioning strategies, using data from credit bureaus, as well as internal analytics. You'll design and implement statistical models to assess risk, run A/B tests to refine our credit policies, and translate complex data into clear, actionable insights for the wider business. Your work will directly influence lending decisions, support portfolio growth, and ensure we maintain a robust and scalable risk framework as we continue to grow.
ESSENTIAL SKILLS
- Proven financial industry experience
- Minimum of 5 years in the UK & Right to Work (No sponsorship is offered)
- Strong programming skills using Python/R/SQL
- Advanced Excel
- Experience with large scale data analysis
- Proven track record in credit risk modelling
KEY SKILLS: Python, R, SQL, Credit Risk Modelling, Excel, A/B Testing, Data Analysis
Credit Risk Manager employer: Searchability (UK) Ltd
Contact Detail:
Searchability (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Manager
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk modelling and data analysis. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the fintech industry, especially those who work in credit risk. Attend relevant meetups or webinars to make connections and gain insights that could give you an edge in your application.
✨Tip Number 3
Prepare to showcase your programming skills in Python, R, or SQL during the interview. Consider working on a small project or case study that highlights your ability to analyse large datasets and develop credit risk models.
✨Tip Number 4
Understand the company's values and approach to lending. Be ready to discuss how your personal values align with their ethical stance on responsible lending, as this will show that you're a good cultural fit for the team.
We think you need these skills to ace Credit Risk Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in credit risk management, particularly your programming skills in Python, R, and SQL. Emphasise your track record in credit risk modelling and any large-scale data analysis projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the fintech industry and how your skills align with the company's mission of ethical lending. Mention specific examples of how you've used data to influence lending decisions or improve risk frameworks.
Showcase Your Technical Skills: Be sure to include specific examples of your technical expertise, such as statistical models you've developed or A/B tests you've conducted. This will demonstrate your ability to translate complex data into actionable insights.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in the financial industry.
How to prepare for a job interview at Searchability (UK) Ltd
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python, R, and SQL during the interview. Be prepared to discuss specific projects where you've used these languages for credit risk modelling or data analysis.
✨Demonstrate Your Analytical Thinking
Prepare examples of how you've designed and implemented statistical models in previous roles. Discuss any A/B testing you've conducted and how it influenced credit policies, as this will show your ability to translate data into actionable insights.
✨Understand the Company’s Values
Familiarise yourself with the company's ethical approach to lending. Be ready to discuss how your values align with theirs and how you can contribute to their customer-focused culture.
✨Prepare Questions About the Role
Think of insightful questions to ask about the role and the company. This shows your genuine interest and helps you understand how you can make a difference in their credit risk framework.
