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- Tasks: Develop and validate credit risk models, taking on meaningful technical responsibilities.
- Company: Join a fast-growing global credit risk analytics consultancy with exciting opportunities.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and a strong benefits package.
- Why this job: Be part of a meritocratic culture with clear development paths and client interaction.
- Qualifications: 2:1 or above in a relevant degree and 2+ years in credit risk modelling required.
- Other info: Proficiency in SAS or Python and strong communication skills are essential.
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 are 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
Familiarise yourself with the latest IRB and IFRS 9 regulations. Understanding these frameworks will not only help you in interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Brush up on your SAS and Python skills. Consider working on a small project or case study that showcases your modelling abilities, as this can be a great talking point during discussions with potential employers.
✨Tip Number 3
Network with professionals in the credit risk space. Attend industry events or join online forums where you can connect with others in the field, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 4
Prepare to discuss your previous experiences in credit risk modelling. Be ready to explain your thought process and the impact of your work, as strong communication skills are essential for interacting with stakeholders at all levels.
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. Highlight your communication skills and ability to engage with stakeholders.
Showcase Technical Skills: In your application, emphasise your technical skills in SAS or Python. If you have any projects or achievements that demonstrate these skills, be sure to include them to make your application stand out.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A well-presented application reflects your attention to detail, which is crucial in the field of credit risk modelling.
How to prepare for a job interview at Leadenhall Search & Selection
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SAS or Python during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in relation to credit risk modelling.
✨Understand IRB and IFRS 9 Regulations
Familiarise yourself with the latest developments in IRB and IFRS 9 regulations. Being able to discuss how these regulations impact credit risk modelling will demonstrate your expertise and commitment to the field.
✨Communicate Effectively
Since the role requires interaction 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.
✨Prepare Questions About Company Culture
Research the company's meritocratic culture and flexible working opportunities. Prepare thoughtful questions about their development paths and work-life balance to show your genuine interest in their values and how you fit into them.
