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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 a competitive salary, strong bonuses, flexible working, and a focus on work-life balance.
- Why this job: Be part of a meritocratic culture with clear development paths and client interaction from day one.
- 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 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.
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 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.
Prepare for Interviews: If selected for an interview, prepare to discuss both technical and non-technical aspects of credit risk modelling. Be ready to explain complex concepts in a way that is understandable to non-technical stakeholders.
How to prepare for a job interview at Leadenhall Search & Selection
✨Showcase Your Technical Skills
Be prepared to discuss your experience with credit risk modelling, particularly in relation to IRB and IFRS 9 regulations. Highlight specific projects where you used SAS or Python, and be ready to explain your methodologies and outcomes.
✨Communicate Effectively
Since the role requires interaction with stakeholders at various levels, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of challenges you've faced in previous roles and how you overcame them. This could involve model validation issues or adapting to regulatory changes, showcasing your analytical thinking and adaptability.
✨Research the Company Culture
Understand the meritocratic culture and flexible working opportunities offered by the consultancy. Be ready to discuss how your values align with theirs and how you can contribute to a positive work-life balance within the team.
