Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a global consultancy as a Credit Risk Modeller, tackling exciting projects in finance.
- Company: Work with a leading firm renowned for its expertise in credit risk management.
- Benefits: Enjoy competitive pay, quick career progression, and flexible project options.
- Why this job: Be part of a culture that values work-life balance and autonomy while making an impact.
- Qualifications: Experience in building or validating IFRS9 or IRB models; proficiency in SAS, Python, R, and SQL required.
- Other info: Opportunities available at Consultant, Manager, and Senior Manager levels across multiple UK locations.
The predicted salary is between 43200 - 72000 £ per year.
Are you a Credit Risk Modeller looking for your next challenge? Can you commute to either London, Leeds, Dublin or Edinburgh? I am searching for Credit Risk modellers on behalf of a leading and global consultancy. They are hiring at both Consultant, Manager, and Senior Manager level, offering the opportunity to work on exciting new projects covering but not limited to Climate Risk, Collection and Recoveries, IFRS9, IRB Modelling, Stress Testing, and Scorecards.
The person:
- Previous experience building or validating either IFRS9 or IRB models, either for retail or wholesale banking.
- Must have experience working at either consultancies dealing with clients in the banking/ FS space, or experience at banks.
- Proficient in at least SAS, Python, or R as well as SQL.
What's on Offer:
- Chance to join a leading firm in the credit risk space, offering competitive compensation, quick progression, and flexibility on the type of projects you want to work on.
- Working with renowned industry leaders in the Credit Risk space.
- A company which values work life balance and autonomy.
Contact Detail:
Leadenhall Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modeller
✨Tip Number 1
Network with professionals in the credit risk field, especially those who have experience in consultancies or banks. Attend industry events or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Familiarise yourself with the latest trends and regulations in credit risk modelling, particularly around IFRS9 and IRB models. This knowledge will not only boost your confidence but also demonstrate your commitment to staying updated in the field.
✨Tip Number 3
Showcase your technical skills in SAS, Python, R, and SQL through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates and highlight your hands-on abilities.
✨Tip Number 4
Prepare for interviews by practising common questions related to credit risk modelling and be ready to discuss specific projects you've worked on. Tailor your responses to reflect how your experience aligns with the exciting projects mentioned in the job description.
We think you need these skills to ace Credit Risk Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building or validating IFRS9 or IRB models. Emphasise your proficiency in SAS, Python, R, and SQL, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Credit Risk Modeller position and how your previous consultancy or banking experience aligns with the company's projects, such as Climate Risk and Stress Testing.
Showcase Relevant Projects: If you've worked on specific projects related to credit risk, make sure to include them in your application. Detail your role, the tools you used, and the outcomes achieved to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is essential in the credit risk field.
How to prepare for a job interview at Leadenhall Search & Selection
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SAS, Python, R, and SQL during the interview. Be prepared to discuss specific projects where you utilised these tools, especially in building or validating IFRS9 or IRB models.
✨Demonstrate Industry Knowledge
Familiarise yourself with current trends in credit risk modelling, particularly around Climate Risk, Stress Testing, and Scorecards. Showing that you are up-to-date with industry developments will impress the interviewers.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles and how you overcame them, particularly in a consultancy or banking environment.
✨Emphasise Work-Life Balance Values
Since the company values work-life balance, be ready to discuss how you manage your workload and maintain a healthy work-life integration. This will show that you align with their company culture.
