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- 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 IFRS9 or IRB models, proficient in SAS, Python, R, and SQL required.
- Other info: Opportunities available at Consultant, Manager, and Senior Manager levels across multiple 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.
Credit Risk Modeller employer: Leadenhall Search & Selection
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 work at 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 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 by working on personal projects or contributing to open-source projects using SAS, Python, R, or SQL. This practical experience can set you apart from other candidates and provide concrete examples of your abilities.
✨Tip Number 4
Prepare for interviews by practising common questions related to credit risk modelling and your specific experiences. Be ready to discuss your previous projects and how they relate to the role you're applying for, highlighting your problem-solving skills.
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, express your enthusiasm for the position and the company. Mention specific projects or areas of credit risk that excite you, such as Climate Risk or Stress Testing, to show your genuine interest.
Highlight Relevant Experience: When detailing your work history, focus on your roles in consultancies or banks that relate to credit risk. Use quantifiable achievements to demonstrate your impact in previous positions.
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 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 in areas like Climate Risk and Stress Testing. Showing that you understand the challenges and innovations in the banking and financial services space will impress your interviewers.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about past experiences where you successfully navigated challenges in credit risk modelling and be ready to share those stories.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and culture. Inquire about their approach to work-life balance and how they support professional development, as this shows your genuine interest in the role and the company.
