At a Glance
- Tasks: Develop and enhance credit risk models for a leading international bank.
- Company: Join a prestigious international bank with a focus on innovation.
- Benefits: Permanent role with strong visibility and career growth opportunities.
- Other info: Collaborate with high-calibre teams and engage with senior stakeholders.
- Why this job: Shape core credit risk models and make an impact in finance.
- Qualifications: Experience in credit risk modelling and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Robert Walters is working exclusively with a leading international bank to appoint a Quantitative Credit Risk Modeller. This is a permanent role offering strong visibility with senior stakeholders and the opportunity to shape core credit risk models used across the bank's portfolios.
The role involves working as part of a small, high-calibre quantitative team, responsible for the development, enhancement and maintenance of regulatory and internal credit risk models, including IRB and IFRS 9. You will work closely with Credit Risk, Finance, Regulatory Reporting and Model Validation teams to ensure models are robust, explainable and aligned with regulatory expectations.
Key responsibilities include:
- Designing, developing and documenting PD, LGD and EAD models for retail and/or wholesale portfolios
- Supporting IFRS 9 expected credit loss modelling, including segmentations, staging and calibration
- Contributing to stress testing and capital modelling exercises
- Undertaking data analysis, feature engineering and model performance monitoring in Python (and/or SAS/R)
- Preparing clear technical documentation and presenting model methodologies and outcomes to senior stakeholders and internal validators
The candidate:
The successful candidate will have:
- Experience in a credit risk modelling or quantitative risk role within a bank, consultancy or financial services firm
- Hands-on experience with IRB and/or IFRS 9 models (PD, LGD, EAD and/or ECL)
- Strong programming skills in Python (SAS or R also beneficial)
- Solid understanding of regulatory frameworks such as Basel and PRA expectations around model risk
If you meet the above set criteria, please apply or send a copy of your CV.
AVP- Quantitative Credit Risk Modeller in London employer: Robert Walters
Joining this leading international bank as an AVP- Quantitative Credit Risk Modeller offers a unique opportunity to work within a high-calibre team, where your contributions will directly influence core credit risk models across diverse portfolios. The bank fosters a collaborative work culture that prioritises employee growth and development, providing access to senior stakeholders and the chance to engage in impactful projects. With a commitment to innovation and regulatory excellence, this role not only enhances your professional skills but also positions you at the forefront of the banking sector's evolution.
StudySmarter Expert Advice🤫
We think this is how you could land AVP- Quantitative Credit Risk Modeller in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the bank or similar firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work on credit risk models, especially any hands-on experience with IRB and IFRS 9. This will help you stand out when discussing your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable explaining complex concepts in simple terms. You’ll need to present your methodologies to senior stakeholders, so being clear and concise is key.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace AVP- Quantitative Credit Risk Modeller in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Quantitative Credit Risk Modeller. Highlight your experience with credit risk modelling, especially any hands-on work with IRB and IFRS 9 models. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t forget to showcase your programming skills in Python, SAS, or R. If you've done any data analysis or model performance monitoring, make it clear! We love seeing candidates who can demonstrate their technical prowess.
Be Clear and Concise:When writing your application, keep it clear and concise. Use straightforward language to explain your experience and how it relates to the key responsibilities mentioned in the job description. We appreciate clarity!
Apply Through Our Website:Finally, make sure to apply through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Robert Walters
✨Know Your Models Inside Out
Make sure you have a solid understanding of the credit risk models you'll be working with, especially PD, LGD, and EAD. Be prepared to discuss your experience with IRB and IFRS 9 models in detail, as this will show your expertise and confidence.
✨Brush Up on Regulatory Knowledge
Familiarise yourself with the latest regulatory frameworks like Basel and PRA expectations. Being able to articulate how these regulations impact model development and validation will impress your interviewers and demonstrate your industry knowledge.
✨Show Off Your Programming Skills
Since strong programming skills in Python (and possibly SAS or R) are crucial for this role, be ready to discuss specific projects where you've used these languages. If possible, bring examples of your work or be prepared to solve a coding challenge during the interview.
✨Prepare for Stakeholder Engagement
Given the visibility with senior stakeholders, practice explaining complex technical concepts in simple terms. Think about how you would present your model methodologies and outcomes to someone without a quantitative background, as this will showcase your communication skills.
