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- Tasks: Lead the development of credit risk models and decisioning strategies using data analytics.
- Company: Join a reputable UK fintech known for 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 culture.
- Qualifications: 5+ years in finance, strong programming skills in Python/R/SQL, and experience in credit risk modelling.
- 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 ethos aligns with their commitment to ethical lending practices, as this will resonate well with the hiring 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. Use specific examples to demonstrate your expertise in credit risk modelling and data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the fintech industry and your understanding of the company's ethical approach to lending. Mention how your skills align with their needs and how you can contribute to their mission.
Highlight Relevant Skills: In your application, emphasise your experience with statistical models, A/B testing, and large-scale data analysis. Be specific about the tools and methodologies you've used in previous roles to assess credit risk.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are 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.
