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- Tasks: Lead the development of retail credit risk models and mentor a talented team.
- Company: Top financial consultancy known for technical excellence and strong regulatory relationships.
- Benefits: Competitive salary, hybrid working, and excellent career progression opportunities.
- 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: Flexible working options and diverse project exposure await you.
The predicted salary is between 43200 - 72000 £ per year.
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 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.
Key Responsibilities:- 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 & 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.
Interested? Then please forward your CV NOW for further details and consultation.
Credit Risk Manager 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
✨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. Make sure they know you’re the go-to person for IFRS 9 and IRB frameworks.
✨Tailor Your Approach
Every company is different, so do your homework! Understand their values and challenges, and tailor your conversations to show how you can help them succeed. This will make you stand out as a candidate who truly gets what they need.
✨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 love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Credit Risk Manager
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, IFRS 9, and any relevant programming skills in Python, SAS, and SQL. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've developed and validated credit risk models or engaged with regulators. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and concise. Avoid jargon unless it's necessary, and make sure your key achievements stand out. We appreciate straightforward communication, especially when it comes to complex topics like credit risk.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 or 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. If possible, prepare to discuss any innovative techniques you've integrated, like machine learning.
✨Engage with Stakeholders
Demonstrate your ability to communicate complex results clearly to various stakeholders. Think of examples where you've successfully engaged with regulators or senior management, and be ready to share how you navigated those conversations.
✨Leadership and Mentoring Experience
Highlight your experience managing or mentoring teams. Prepare to discuss how you've contributed to the development of your team members and how you ensure high-quality deliverables while maintaining project timelines.
