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- Tasks: Lead the development and oversight of Internal Ratings Based (IRB) models in credit risk.
- Company: Join a specialist Credit Risk Modelling team in a dynamic financial services environment.
- Benefits: Gain exposure to high-profile projects and develop your expertise with senior stakeholders.
- Why this job: Make impactful credit risk decisions while enhancing your technical skills in a supportive setting.
- Qualifications: Experience in credit risk modelling and strong quantitative skills required.
- Other info: Collaborative culture with opportunities for mentoring and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for an experienced Quantitative Risk Manager to join a specialist Credit Risk Modelling team and take a leading role in the development, implementation and oversight of Internal Ratings Based (IRB) models. This role offers broad exposure across Retail and Corporate, combining deep technical modelling work with senior stakeholder engagement and regulatory-facing deliverables.
You will be responsible for the end-to-end lifecycle of IRB models, from design and calibration through to governance, documentation and ongoing performance monitoring. This includes:
- Developing and maintaining PD, LGD, scorecard, slotting and stress testing models
- Delivering annual model reviews, recalibrations and ad-hoc testing
- Defining data requirements for LGD modelling and assessing data quality and availability against regulatory and internal standards
- Working closely with collections, recoveries and collateral teams to resolve data gaps
- Producing high-quality model documentation, reports and regulatory artefacts, including annual IRB self-assessments and remediation plans
- Presenting complex methodologies and results to senior management committees
- Providing training and technical guidance on modelling approaches
- Supporting and mentoring junior colleagues within the team
- Operating in line with the organisation’s risk management framework and governance standards
You’ll bring strong technical expertise alongside the ability to communicate clearly and confidently with non-technical stakeholders. Key experience and skills include:
- Background in credit risk modelling within financial services
- Practical experience with IRB models (Retail and/or Corporate)
- Sound knowledge of IRB regulatory requirements (CRR, EBA, PRA)
- Strong quantitative skills, including statistical modelling and validation
- Hands-on use of SAS, SQL and/or R
- High attention to detail and a strong focus on quality
- A proactive, collaborative and well-organised working style
Why apply? This is a chance to work on material, high-profile regulatory models, influence key credit risk decisions, and develop your expertise in a technically strong and supportive environment with regular exposure to senior stakeholders.
Credit Risk IRB Modelling Manager employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk IRB Modelling Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and risk management sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise in credit risk modelling.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with IRB models and how you've tackled challenges in previous roles. Practise explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 3
Showcase your work! If you have any relevant projects or case studies, create a portfolio that highlights your modelling skills and successful outcomes. This will give you an edge when discussing your qualifications.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and demonstrating your passion for credit risk modelling.
We think you need these skills to ace Credit Risk IRB Modelling Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your background in credit risk modelling and any hands-on experience with IRB models to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for quantitative risk management and how your previous experiences align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SAS, SQL, or R! We love seeing candidates who can demonstrate their strong quantitative skills and attention to detail, so make sure these shine through in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Credit Risk Modelling team!
How to prepare for a job interview at Barclay Simpson
✨Know Your Models Inside Out
Make sure you have a solid understanding of the IRB models you'll be working with. Brush up on your knowledge of PD, LGD, and scorecard models, and be ready to discuss how you've developed or maintained these in the past.
✨Prepare for Technical Questions
Expect to face technical questions related to statistical modelling and validation. Be prepared to explain your hands-on experience with tools like SAS, SQL, or R, and how you've applied them in real-world scenarios.
✨Showcase Your Communication Skills
Since this role involves engaging with senior stakeholders, practice explaining complex methodologies in simple terms. Think of examples where you've successfully communicated technical concepts to non-technical audiences.
✨Demonstrate Your Collaborative Spirit
Highlight your experience working with cross-functional teams, especially in resolving data gaps with collections and recoveries. Share specific instances where your proactive approach made a difference in a project.
