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- Tasks: Join a dynamic team to develop and validate credit risk models.
- Company: Leadenhall Search & Selection is a fast-growing global credit risk analytics consultancy.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and a focus on work-life balance.
- Why this job: Take on meaningful responsibilities in a meritocratic culture with clear development paths.
- Qualifications: 2:1 or above in a relevant degree and 2+ years in credit risk modelling required.
- Other info: Engage with stakeholders at all levels, enhancing your communication skills.
The predicted salary is between 36000 - 60000 £ per year.
The company: Leadenhall Search & Selection are recruiting for a fast-growing credit risk analytics consultancy with a global presence. The organisation is growing their team and looking for experienced credit risk modelers to join them.
The role: Our client is looking to bring in credit risk modelers across a number of levels. This person will have the opportunity to take on meaningful technical responsibility in the development and validation of IRB and IFRS 9 models.
The person:
- 2:1 or above in a relevant Bachelor's degree.
- 2+ years of hands-on experience in credit risk modelling.
- Exposure to IRB/IFRS 9 regulations.
- Proficiency in SAS or Python.
- Strong communicator with ability to interact with stakeholders of varying levels on a technical and non-technical basis.
What’s on Offer:
- Competitive salary and a strong bonus and benefits package.
- Client interaction and clear responsibilities from the start.
- Meritocratic culture with a clear development path.
- Flexible working opportunities, with a focus on work-life balance.
Retail 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 Retail Credit Risk Modeller
✨Tip Number 1
Make sure to brush up on your knowledge of IRB and IFRS 9 regulations. Being able to discuss these frameworks confidently during interviews will show that you understand the core requirements of the role.
✨Tip Number 2
Familiarise yourself with the latest trends in credit risk modelling, especially in relation to SAS and Python. Demonstrating your awareness of current methodologies can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your communication skills by thinking of examples where you've successfully interacted with both technical and non-technical stakeholders. This will highlight your ability to bridge gaps between different teams.
✨Tip Number 4
Network with professionals in the credit risk field, perhaps through LinkedIn or industry events. Building connections can provide insights into the company culture and may even lead to referrals.
We think you need these skills to ace Retail Credit Risk Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in credit risk modelling, particularly your hands-on experience with IRB and IFRS 9 models. Use specific examples to demonstrate your proficiency in SAS or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention your 2+ years of experience and how it aligns with their needs. Emphasise your communication skills and ability to engage with stakeholders.
Highlight Technical Skills: In your application, clearly outline your technical skills, especially your experience with SAS or Python. Provide examples of projects where you applied these skills in credit risk modelling.
Showcase Your Educational Background: Mention your degree and any relevant coursework that relates to credit risk analytics. If you have additional certifications or training, include those as well to strengthen your application.
How to prepare for a job interview at Leadenhall Search & Selection
✨Showcase Your Technical Skills
Make sure to highlight your experience with SAS or Python during the interview. Be prepared to discuss specific projects where you applied these skills, especially in relation to credit risk modelling.
✨Understand IRB and IFRS 9 Regulations
Familiarise yourself with the key aspects of IRB and IFRS 9 regulations. Being able to discuss how these frameworks impact credit risk modelling will demonstrate your expertise and understanding of the industry.
✨Prepare for Stakeholder Interaction
Since the role requires communication with stakeholders at various levels, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical audiences.
✨Emphasise Your Problem-Solving Abilities
Be ready to share examples of challenges you've faced in previous roles and how you overcame them. This will illustrate your analytical thinking and ability to handle the responsibilities of the position.
