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- Tasks: Lead the development of credit risk models and decisioning strategies using data analytics.
- Company: Join a reputable 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 the financial industry with strong programming skills in Python/R/SQL.
- Other info: No sponsorship offered; must have the right to work in the UK.
The predicted salary is between 52000 - 78000 £ 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 are 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.
CREDIT RISK MANAGER - 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
TO BE CONSIDERED.
Please either apply by clicking online or emailing me directly. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only.
KEY SKILLS: Python, R, SQL, Credit Risk Modelling, Excel, A/B Testing, Data Analysis
Credit Risk Manager in Nottingham 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 in Nottingham
✨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 that could provide insights or even referrals for the role.
✨Tip Number 3
Brush up on your programming skills, particularly in Python, R, and SQL. Consider working on a small project or contributing to open-source projects to showcase your abilities and practical experience.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to influence lending decisions in your previous roles. Highlighting your direct impact on business outcomes will set you apart from other candidates.
We think you need these skills to ace Credit Risk Manager in Nottingham
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Credit Risk Manager. Familiarise yourself with credit risk modelling, data analysis, and the specific programming skills required, such as Python, R, and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience in credit risk management and data analysis. Emphasise your programming skills and any previous roles that involved developing credit risk models or working with large datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the fintech industry and your understanding of ethical lending practices. Mention how your skills align with the company's values and how you can contribute to their mission.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented clearly. A polished application reflects your attention to detail.
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 team dynamics. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
