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- Tasks: Lead the development of retail credit risk models and manage a talented team.
- Company: Top financial consultancy known for technical excellence and strong regulatory ties.
- Benefits: Competitive salary, hybrid working, and first-class benefits.
- Why this job: Join a high-performing team and make a real impact in the banking sector.
- Qualifications: MSc or PhD in a quantitative field with experience in credit risk modelling.
- Other info: Excellent career progression and diverse project exposure await you.
Are you a Credit Risk Manager with proven experience developing and validating retail credit risk models under IFRS 9 and/or IRB ideally within Tier 1 banks, challenger banks, or consultancies? Have a deep understanding of PRA and EBA guidelines and Basel regulatory frameworks plus strong programming skills in Python, SAS, and SQL? Do you live within a commutable distance of Central London and seeking a new Credit Risk Manager opportunity offering a competitive salary, hybrid working and 1st class benefits?
Our client is a leading financial consultancy with a fantastic opportunity for an experienced Credit Risk Manager to join them and lead the development of retail credit risk models under IFRS 9 and IRB frameworks. This would be a superb move for a highly skilled risk professional to take ownership of end-to-end model development while managing a talented team of Senior Consultants. The successful candidate will report directly to the Partner/Technical Director and play a key role in delivering regulatory-compliant, business-relevant credit risk models to major banking clients.
The key responsibilities are summarised below:
- Lead the design, enhancement, and maintenance of retail credit risk models (PD, LGD, and EAD) under IFRS 9 and IRB.
- Manage and mentor a team of Senior Consultants to deliver high-quality, robust, and compliant modelling solutions.
- Ensure all models meet PRA, EBA, and Basel 3.1 regulatory standards.
- Conduct and review statistical analysis, calibration, back-testing, and monitoring to ensure model accuracy and performance.
- Provide technical expertise in Python, SAS, and SQL for model development and validation.
- Engage confidently with regulators, validation teams, and senior stakeholders, communicating complex results clearly.
- Promote innovation by integrating machine learning and advanced analytics into modelling approaches.
- Oversee project timelines, resources, and deliverables to meet internal and client expectations.
- Contribute to training, mentoring, and capability development across the modelling team.
- Maintain full documentation and governance across all model risk management activities.
Our client would be particularly interested in candidates with an MSc or PhD in a quantitative field (e.g. Mathematics, Statistics, Economics, or Finance) who has developed and validated retail credit risk models under IFRS 9 and/or IRB ideally within a banking or consultancy environment. You should also have a solid grasp of statistical techniques such as logistic regression, survival analysis, and machine learning as well as excellent stakeholder management and communication skills. Experience of managing or mentoring analysts or consultants in a modelling environment would also be an advantage as well as 1st class project management and organisational abilities.
This is an excellent opportunity to take on a leadership role within a high-performing consultancy known for technical excellence and strong regulatory relationships. The role offers career progression, diverse project exposure, and flexible working options.
Credit Risk Manager in London employer: In-pact Accountancy
Contact Detail:
In-pact Accountancy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Manager in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, webinars, or even local meetups. The more you engage with others, the better your chances of hearing about opportunities that might not be advertised.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of your experience with credit risk models and programming skills. Let them know how you can add value to their team.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research their projects and challenges, and come prepared with ideas on how you can help them succeed in their credit risk management.
✨Apply Through Our Website
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 and make an impact in the financial consultancy world.
We think you need these skills to ace Credit Risk Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Risk Manager role. Highlight your experience with retail credit risk models under IFRS 9 and IRB, and don’t forget to mention your programming skills in Python, SAS, and SQL!
Showcase Your Skills: In your application, clearly showcase your understanding of PRA, EBA guidelines, and Basel regulatory frameworks. We want to see how your skills align with the requirements of the role, so be specific!
Engage with Your Experience: When writing your cover letter, engage with your past experiences. Share examples of how you've led model development or mentored teams, as this will demonstrate your leadership capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on the path to joining our fantastic team!
How to prepare for a job interview at In-pact Accountancy
✨Know Your Models Inside Out
Make sure you can discuss the retail credit risk models you've developed and validated in detail. Be prepared to explain your approach under IFRS 9 and IRB frameworks, as well as how you ensure compliance with PRA and EBA guidelines.
✨Show Off Your Technical Skills
Brush up on your programming skills in Python, SAS, and SQL. Be ready to provide examples of how you've used these tools in model development and validation, and consider discussing any innovative techniques you've integrated, like machine learning.
✨Engage with Stakeholders
Prepare to demonstrate your stakeholder management skills. Think of examples where you've communicated complex results clearly to regulators or senior stakeholders, and be ready to discuss how you handle feedback and collaboration.
✨Leadership and Mentoring Experience
If you've managed or mentored a team, come equipped with specific examples of how you've guided your team to deliver high-quality modelling solutions. Highlight your project management abilities and how you've contributed to training and capability development.
