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- Tasks: Join a team tackling exciting projects in Credit Risk modelling and analysis.
- Company: A leading global consultancy known for its expertise in credit risk solutions.
- Benefits: Enjoy competitive pay, quick career progression, and flexible project options.
- Why this job: Work with industry leaders while maintaining a healthy work-life balance and autonomy.
- Qualifications: Experience in 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 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. Attend industry events, webinars, or meetups to connect with people who work at consultancies or banks. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your technical skills by working on personal projects or contributing to open-source projects using SAS, Python, R, or SQL. This not only enhances your portfolio but also demonstrates your passion and expertise in credit risk modelling.
✨Tip Number 3
Stay updated on the latest trends and regulations in credit risk, such as IFRS9 and stress testing. Being knowledgeable about current developments will help you engage in meaningful conversations during interviews and show your commitment to the field.
✨Tip Number 4
Prepare for technical interviews by practising common modelling scenarios and case studies relevant to credit risk. Familiarise yourself with the types of questions that may be asked regarding IRB models and climate risk to boost your confidence.
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 with IFRS9 or IRB models, especially if you've worked in retail or wholesale banking. Use specific examples to demonstrate your proficiency in SAS, Python, R, and SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your previous consultancy experience and how it relates to the projects they are working on, such as Climate Risk or Stress Testing.
Showcase Relevant Projects: If you have worked on relevant projects, describe them briefly in your application. Highlight your contributions and the outcomes, particularly in areas like Collection and Recoveries or Scorecards.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial 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, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Latest Trends
Familiarise yourself with current trends in credit risk modelling, such as Climate Risk and IFRS9. Being able to discuss these topics will show that you are not only knowledgeable but also genuinely interested in the field.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think of examples from your past experiences where you successfully built or validated models, and be ready to explain your thought process.
✨Emphasise Your Consultancy Experience
If you have worked in consultancies or directly with banks, make sure to emphasise this experience. Discuss how you managed client relationships and delivered results, as this is crucial for roles in a consultancy environment.
