At a Glance
- Tasks: Lead the redevelopment of credit risk models and enhance analytical solutions.
- Company: Join a growing UK specialist bank with a strong risk culture.
- Benefits: Earn up to £100,000 pro-rated with a comprehensive benefits package.
- Other info: Work in a dynamic setting with opportunities for professional growth.
- Why this job: Make a real impact on credit risk management in a collaborative environment.
- Qualifications: Experience in credit risk modelling and strong technical skills in Python or R.
An exciting opportunity to join a growing UK specialist bank operating across a range of secured and specialist lending products. With a strong focus on prudent risk management, the business continues to invest in its credit risk capability as part of ongoing portfolio and regulatory development.
This organisation is a UK-based specialist bank focused on secured and specialist lending across property and asset-backed products. Operating with a strong risk culture and a streamlined operating model, the business has grown steadily in recent years while continuing to invest in its credit and risk infrastructure. With an emphasis on prudent decision-making and regulatory best practice, it offers a collaborative environment where technical expertise has a genuine impact.
This contract role will take ownership of redeveloping and enhancing core credit risk models across multiple lending portfolios. You will lead the technical design and delivery of updated models, ensuring they are robust, well-governed and aligned to regulatory expectations, while working closely with senior stakeholders across risk and lending. Specifically, you can expect to be involved in the following:
- Leading the redevelopment of credit risk rating, ICAAP and stress testing models
- Designing and enhancing PD, LGD and Expected Loss frameworks across specialist lending portfolios
- Improving model risk sensitivity, transparency and governance standards
- Translating existing spreadsheet-based models into more scalable analytical solutions
- Managing the end-to-end model redevelopment process, including documentation and stakeholder engagement
The successful Credit Risk Modeller will have the following skills and experience:
- Proven experience building and redeveloping credit risk, scorecard or rating models
- Strong understanding of PD, LGD, EAD and Expected Loss methodologies
- Experience with ICAAP, stress testing, IFRS 9 or related regulatory models
- Background in specialist or secured lending environments (e.g. property or asset finance)
- Strong technical capability in Python or R, with advanced Excel skills
- Ability to communicate complex model outputs clearly to non-technical stakeholders
The successful Credit Risk Modeller will receive a salary up to £100,000 pro-rated as well as a comprehensive benefits package.
Credit Risk Modeller (6 month FTC) employer: Harnham - Data & Analytics Recruitment
Join a dynamic UK specialist bank that prioritises prudent risk management and fosters a collaborative work culture. With a strong commitment to employee growth, this organisation offers opportunities to enhance your technical expertise while working on impactful credit risk projects in the heart of London. Enjoy a competitive salary and a comprehensive benefits package, all within a supportive environment that values your contributions.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk Modeller (6 month FTC)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out to professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
When you get the chance to meet potential employers, make sure to showcase your technical skills. Bring along examples of your work or even a portfolio if you have one. We want to see how you can bring value to the role of Credit Risk Modeller!
✨Prepare for the Interview
Do your homework before the interview! Understand the company’s risk culture and their approach to credit risk management. We recommend preparing some thoughtful questions to ask – it shows you’re genuinely interested and engaged.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Credit Risk Modeller (6 month FTC)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Credit Risk Modeller. Highlight your experience with credit risk models, especially in secured lending environments. We want to see how your skills align 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 credit risk modelling and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your technical capabilities, especially in Python or R. We’re keen on seeing how you can enhance our credit risk models, so be specific about your experience and projects you've worked on.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Models Inside Out
Make sure you’re well-versed in the credit risk models you’ve worked on. Be ready to discuss your experience with PD, LGD, and EAD methodologies, as well as any specific challenges you faced while redeveloping these models.
✨Brush Up on Regulatory Knowledge
Since this role involves working closely with regulatory expectations, it’s crucial to understand ICAAP and stress testing requirements. Familiarise yourself with the latest regulations and be prepared to discuss how you’ve applied them in your previous roles.
✨Showcase Your Technical Skills
Highlight your proficiency in Python or R during the interview. Prepare examples of how you’ve used these tools to enhance model performance or streamline processes. Don’t forget to mention your advanced Excel skills too!
✨Communicate Clearly with Stakeholders
You’ll need to explain complex model outputs to non-technical stakeholders. Practice articulating your thought process and findings in a straightforward manner. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
