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- Tasks: Develop and validate credit risk models while collaborating with diverse stakeholders.
- Company: Join a fast-growing global consultancy specialising in credit risk analytics.
- 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 career progression.
- Qualifications: 2:1 or above in a relevant degree and 2+ years of credit risk modelling experience required.
- Other info: Proficiency in SAS or Python is essential; strong communication skills are a must.
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.
Credit Risk Modeler employer: Leadenhall Search & Selection
Contact Detail:
Leadenhall Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modeler
✨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 Credit Risk Modeler
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 Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your ability to communicate effectively with both technical and non-technical stakeholders.
Highlight Relevant Skills: Clearly outline your skills related to credit risk modelling and any relevant certifications. Emphasise your experience with regulations like IRB and IFRS 9, as well as your technical skills in programming languages such as SAS or Python.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally.
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 IRB and IFRS 9 models.
✨Understand the Regulations
Familiarise yourself with the latest developments in IRB and IFRS 9 regulations. Being able to discuss these topics confidently 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
Think of insightful questions to ask about the company's culture, team dynamics, and the specific challenges they face in credit risk modelling. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
