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- Tasks: Lead validation of credit risk models and engage with senior management.
- Company: Join a large, successful retail bank with offices across the UK.
- Benefits: Enjoy flexible working, mostly remote, with just one office day per month.
- Why this job: Be part of a high-caliber team shaping model validation and risk management.
- Qualifications: Experience in credit risk model validation or development is essential.
- Other info: Diverse applicants are encouraged; adjustments to the application process can be requested.
The predicted salary is between 72000 - 95000 £ per year.
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My client is a large and successful retail bank with offices across the UK. They are looking to hire a credit risk model validation professional to join a small, high-caliber team carrying out quantitative validation of the firm\’s various credit risk models.
The team is spread across the UK, and the firm offers truly flexible working with the opportunity to work remotely most of the time, with only 1 day per month required at one of the 4 UK offices.
Key Responsibilities
- Lead and perform independent validation of models across the Group, engaging with Analytics teams and Senior Management in the timely completion of model validations and reporting of identified findings and weaknesses of models.
- Develop and shape the overall approach to model validation and model risk management across the Group.
- Manage the prioritization of models requiring validation according to model materiality, business use, complexity, and other factors.
- Oversee model risk activities across the Group and challenge the appropriateness of models used within the business.
- Engage with Senior Stakeholders (e.g., CROs, Finance Directors, Heads of Functions) on key model risk activities.
Requirements:
- Significant prior experience in model validation and/or development for credit risk, preferably in retail.
- Practical understanding of model validation techniques, especially for retail credit risk, IFRS9, and IRB models.
- Knowledge of model risk management regulations and standards in the UK and EU.
Candidates are likely to be working in the model validation or development teams of a large retail bank, challenger, consumer finance firm, or consultancy specialized in credit risk.
Apply for this job
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Manager – Credit Risk Model Validation
Specialisms: Risk Jobs | Quant Jobs
- United Kingdom
- to £95k + benefits
- Job type: Permanent
- Sector: Banking
- Job reference: SN43622
Apply for this job
My client is a large and successful retail bank with offices across the UK. They are looking to hire a credit risk model validation professional to join a small, high-caliber team carrying out quantitative validation of the firm\’s various credit risk models.
The team is spread across the UK, and the firm offers truly flexible working with the opportunity to work remotely most of the time, with only 1 day per month required at one of the 4 UK offices.
Key Responsibilities
- Lead and perform independent validation of models across the Group, engaging with Analytics teams and Senior Management in the timely completion of model validations and reporting of identified findings and weaknesses of models.
- Develop and shape the overall approach to model validation and model risk management across the Group.
- Manage the prioritization of models requiring validation according to model materiality, business use, complexity, and other factors.
- Oversee model risk activities across the Group and challenge the appropriateness of models used within the business.
- Engage with Senior Stakeholders (e.g., CROs, Finance Directors, Heads of Functions) on key model risk activities.
Requirements:
- Significant prior experience in model validation and/or development for credit risk, preferably in retail.
- Practical understanding of model validation techniques, especially for retail credit risk, IFRS9, and IRB models.
- Knowledge of model risk management regulations and standards in the UK and EU.
Candidates are likely to be working in the model validation or development teams of a large retail bank, challenger, consumer finance firm, or consultancy specialized in credit risk.
Apply for this job
Full name
Email address
Phone (optional)
Message
Add CV (optional)
Upload your CV/resume or any other relevant file. Max. file size: 2 MB.
I consent to the storing and processing of my personal data as detailed in Barclay Simpson’s Privacy Policy.
We seek individuals from a diverse talent pool and encourage applicants from underrepresented groups to apply to our vacancies. Our commitment to fair recruitment processes means that we welcome applicants from all backgrounds, regardless of their lived experience or personal characteristics. We also invite applicants who meet most of the listed requirements, even if not all, to apply. If you require any adjustments to the application process, please let us know.
Barclay Simpson acts as an Employment Agency for permanent positions and an Employment Business for temporary/contract engagements.
Scott Nye – Quant Risk
Executive Consultant
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Manager – Credit Risk Model Validation employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager – Credit Risk Model Validation
✨Tip Number 1
Familiarise yourself with the latest model validation techniques specific to retail credit risk. This will not only enhance your understanding but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the banking and finance sector, especially those involved in model validation. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with IFRS9 and IRB models during interviews. Be ready to share specific examples of how you've applied these regulations in your previous roles.
✨Tip Number 4
Showcase your ability to engage with senior stakeholders by preparing examples of past interactions. Highlight how you effectively communicated complex model findings to non-technical audiences.
We think you need these skills to ace Manager – Credit Risk Model Validation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in model validation and credit risk. Use specific examples that demonstrate your understanding of IFRS9 and IRB models, as well as any previous roles in retail banking or consultancy.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the key responsibilities mentioned in the job description, particularly your ability to engage with senior stakeholders and manage model risk activities.
Showcase Quantitative Skills: Since the role involves quantitative validation, be sure to mention any relevant quantitative skills or tools you are proficient in. This could include statistical software or programming languages that are commonly used in model validation.
Highlight Flexibility and Teamwork: Given the flexible working environment, emphasise your ability to work independently and collaboratively. Mention any experience you have in remote working or leading teams, as this will resonate well with the company's culture.
How to prepare for a job interview at Barclay Simpson
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with model validation techniques, particularly in retail credit risk. Highlight specific models you've worked on and the methodologies you used to validate them.
✨Understand Regulatory Frameworks
Familiarise yourself with UK and EU model risk management regulations. Be ready to explain how these regulations impact model validation processes and how you've ensured compliance in your previous roles.
✨Engage with Stakeholders
Demonstrate your ability to communicate effectively with senior stakeholders. Prepare examples of how you've engaged with CROs or Finance Directors in past projects, focusing on how you presented findings and recommendations.
✨Prioritisation Skills
Discuss your approach to prioritising models for validation based on materiality and complexity. Share any frameworks or criteria you've developed to manage this process efficiently.
