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For Companies At a Glance
- Tasks: Lead credit risk modelling projects and enhance measurement frameworks for banks.
- Company: Join a top-tier Credit Risk Analytics Team making a real impact in finance.
- Benefits: Enjoy a collaborative culture, flexible working options, and opportunities for professional growth.
- Why this job: Be part of innovative projects that shape the future of credit risk management.
- Qualifications: Strong experience in credit risk modelling and proficiency in Python and other tools required.
- Other info: Ideal for creative thinkers eager to challenge norms and drive change in financial practices.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Join a leading Credit Risk Analytics Team
You will play a key part in supporting organisations to enhance their credit measurement frameworks, methodologies, and systems. You will work across a wide range of credit asset classes, helping businesses meet regulatory requirements and strengthen their risk management capabilities.
Your responsibilities will include:
- Helping banks improve and develop credit risk measurement frameworks, focusing on IFRS 9, IRB, and stress testing methodologies
- Providing modelling and analytical support for credit measurement to a range of banks
- Assisting first-line teams in building or refining credit risk models, supporting second-line oversight functions, or reviewing internal audit processes
- Contributing to the design and enhancement of broader credit risk infrastructures—covering areas such as data, controls, model monitoring and maintenance, risk governance, reporting, and external disclosures
- Supporting audit activities by assessing the robustness and implementation quality of IFRS 9 and RWA methodologies to identify weaknesses or areas for improvement
- Taking part in a variety of credit measurement-focused projects, such as due diligence, stress testing, and asset quality reviews
- Contributing to thought leadership and best practices in credit risk analytics
- Working within a collaborative and inclusive team culture that values diverse perspectives and contributions
Connect to Your Skills and Experience
Essential:
- Strong credit risk modelling experience, including development, validation, or delivery of models under IFRS 9, IRB, or stress testing frameworks
- Good understanding of credit risk governance, financial management, and stakeholder needs
- Familiarity with credit fundamentals across various financial asset classes
- Ability to explain technical and modelling concepts to non-specialist audiences
- Strong project management and leadership skills
- Proven ability to build effective partnerships with clients and stakeholders
- Proficiency in Python for modelling purposes
- Competence in other modelling tools such as SAS, SQL, R, and advanced MS Excel (including VBA)
- Creative thinker with a desire to innovate and challenge established practices
Desirable:
- Awareness of current economic and market developments
- Understanding of regulatory credit risk
- Commercial insight into the use of credit model outputs and implications for business decisions
- Familiarity with broader rating system components, such as data management, systems, controls, and use testing
- Knowledge of evolving regulatory frameworks affecting credit measurement
- Experience with data visualisation tools and techniques
Credit Risk Modelling Manager employer: Campion Pickworth
Contact Detail:
Campion Pickworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modelling Manager
✨Tip Number 1
Network with professionals in the credit risk field. Attend industry conferences, webinars, or local meetups to connect with others who work in credit risk modelling. This can help you gain insights into the latest trends and potentially lead to job referrals.
✨Tip Number 2
Showcase your technical skills by working on relevant projects or case studies. Create a portfolio that highlights your experience with Python, SAS, SQL, and other modelling tools. This practical demonstration of your abilities can set you apart during interviews.
✨Tip Number 3
Stay updated on regulatory changes and market developments related to credit risk. Subscribe to industry publications or follow thought leaders on social media. Being knowledgeable about current events will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss your project management and leadership experiences. Think of specific examples where you've successfully led a team or managed a project related to credit risk modelling. This will demonstrate your ability to contribute effectively to our collaborative team culture.
We think you need these skills to ace Credit Risk Modelling Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong credit risk modelling experience and relevant skills. Focus on your proficiency in Python, SAS, SQL, R, and advanced Excel, as well as any project management and leadership roles you've held.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about credit risk analytics and how your background aligns with the responsibilities outlined in the job description. Mention specific experiences that demonstrate your ability to improve credit risk measurement frameworks.
Showcase Your Technical Skills: Be sure to include examples of your work with IFRS 9, IRB, and stress testing methodologies. Highlight any projects where you contributed to model development or validation, and explain how you communicated complex concepts to non-specialists.
Demonstrate Your Collaborative Spirit: Emphasise your ability to work within a team and build effective partnerships with clients and stakeholders. Share instances where you contributed to a collaborative environment or led a project that required teamwork.
How to prepare for a job interview at Campion Pickworth
✨Showcase Your Modelling Expertise
Be prepared to discuss your experience with credit risk modelling in detail. Highlight specific projects where you've developed or validated models under IFRS 9, IRB, or stress testing frameworks. Use examples to demonstrate your technical skills and how they contributed to successful outcomes.
✨Understand the Regulatory Landscape
Familiarise yourself with current regulatory requirements and frameworks affecting credit measurement. Be ready to discuss how these regulations impact credit risk governance and financial management. This shows that you are not only technically proficient but also aware of the broader context in which you will be working.
✨Communicate Clearly with Non-Specialists
Since you'll need to explain complex modelling concepts to non-specialist audiences, practice simplifying your explanations. Think of ways to convey your ideas clearly and concisely, using analogies or straightforward language. This skill is crucial for building effective partnerships with clients and stakeholders.
✨Demonstrate Leadership and Collaboration Skills
Prepare to discuss your project management and leadership experiences. Share examples of how you've led teams or collaborated on projects, particularly in a credit risk context. Emphasising your ability to work within a diverse team culture will resonate well with the interviewers.
