At a Glance
- Tasks: Lead the development and enhancement of stress testing models for credit risk.
- Company: Specialist bank with a focus on innovative financial solutions.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team dedicated to continuous improvement and compliance.
- Why this job: Make a real impact on risk management strategies in a dynamic banking environment.
- Qualifications: Strong background in Credit Risk modelling and experience with SQL & SAS.
The predicted salary is between 43200 - 72000 £ per year.
About the job
Our client, a specialist bank, is looking to recruit a Stress Testing Modelling Manager within their London office, with hybrid working. You will be based in the Model Development team and will develop, monitor and maintain optimised models for credit risk and capital purposes, coordinating effort across the Credit Risk and Finance functions of the organisation.
Role Responsibilities:
- Leading the re-development, enhancement, documentation and execution of the banks Pillar 2A Credit Risk and Pillar 2B stress testing models for the annual planning and stress testing cycles
- Providing insight and recommendations on key outputs from the process to aid the front-line business in understanding their overall risk profile and driving strategic objectives in line with PRA best practice guidelines
- Identifying and implementing model changes and enhancements as needed
- Supporting the teams ongoing IFRS 9 expected losses activities
- Maintenance and continuous improvement of an appropriate data structure to deliver efficient and effective model risk management
- Providing support to the broader Risk and Compliance function where required
Qualifications and Experience Required:
- A strong understanding of Credit Risk with extensive relevant experience in developing Credit Risk Models
- Significant experience of undertaking stress testing and forecasting exercises
- Thorough understanding of IFRS 9 model requirements and development experience
- Strong mathematical and statistical background and knowledge of statistical modelling techniques
- Significant experience of using SQL & SAS; knowledge of other programming languages an asset
- Excellent written and presentational skills
Stress Testing Modelling Manager employer: Campion Pickworth
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the heart of London, we offer exceptional growth opportunities through diverse projects with major insurers, alongside comprehensive benefits that support both professional development and personal well-being. Join us to be part of a collaborative team that values innovation and excellence in delivering transformative solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Stress Testing Modelling Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in credit risk or modelling. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can confidently discuss stress testing models and IFRS 9 requirements. We want you to shine when they ask about your experience with SQL and SAS!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be ready to share examples of how you've tackled challenges in model development or risk management. This will help demonstrate your value to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Stress Testing Modelling Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Stress Testing Modelling Manager role. Highlight your experience with credit risk models and stress testing, and don’t forget to mention your skills in SQL and SAS. We want to see how your background fits perfectly with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your experience aligns with the responsibilities listed. We love seeing enthusiasm and a clear understanding of the job, so let your personality come through!
Showcase Your Skills:In your application, make sure to showcase your mathematical and statistical skills. Provide examples of how you've used these in past roles, especially in developing or enhancing credit risk models. We’re keen on seeing your analytical prowess in action!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we stand for at StudySmarter!
How to prepare for a job interview at Campion Pickworth
✨Know Your Models Inside Out
Make sure you have a solid grasp of credit risk models, especially the Pillar 2A and 2B stress testing models. Be prepared to discuss your experience with these models and how you've contributed to their development or enhancement in previous roles.
✨Brush Up on IFRS 9 Requirements
Since the role involves IFRS 9 expected losses activities, it’s crucial to understand the model requirements thoroughly. Review the latest guidelines and be ready to explain how you've applied them in your past work.
✨Showcase Your Technical Skills
Highlight your experience with SQL and SAS during the interview. Prepare examples of how you've used these tools for model development or data management, as well as any other programming languages you know that could be relevant.
✨Communicate Clearly and Confidently
Given the importance of presentational skills in this role, practice explaining complex concepts in a straightforward manner. Think about how you can convey insights from your modelling work to non-technical stakeholders effectively.
