At a Glance
- Tasks: Own and develop credit risk models, focusing on IFRS 9 and broader credit models.
- Company: Dynamic UK financial services firm with global backing and a collaborative culture.
- Benefits: Competitive salary, hybrid working, and the chance to shape model development.
- Other info: Join a growing team with excellent career progression opportunities.
- Why this job: Make a real impact in credit risk modelling while enjoying flexible work arrangements.
- Qualifications: Experience in credit risk models and programming skills in SAS or Python.
The predicted salary is between 50000 - 60000 € per year.
A UK-based financial services business operating within the automotive and consumer finance space. Part of a larger international group, combining the stability of a global organisation with the agility of a smaller UK operation. Regulated under a banking licence, with an expanding credit risk and analytics capability.
This role will play a key part in building out the credit risk modelling capability in the UK, with initial focus on IFRS 9 models and longer-term exposure to a broader range of credit models. Specifically, you can expect to be involved in:
- Ownership, development, enhancement and validation of credit risk models.
- Redevelopment and ongoing management of IFRS 9 models, including PD, LGD and EAD.
- Working closely with international stakeholders to transition model ownership into the UK.
- Supporting ICAAP modelling and stress testing activity.
- Contributing to future development of scorecards and other credit models over time.
YOUR SKILLS AND EXPERIENCE
- Experience developing or owning credit risk models within a banking or regulated financial services environment.
- Strong background in IFRS 9, stress testing, provisioning or capital models.
- Hands‑on experience developing PD and/or LGD models.
- Programming experience using SAS and/or Python, with confidence working in SAS-based environments.
THE BENEFITS
- Competitive salary and benefits package.
- Hybrid working with flexibility on office attendance.
- Opportunity to take full ownership of models and influence their future development.
- Exposure to a broad range of credit risk models as the team continues to grow.
THE PROCESS
- Initial online interview focused on role overview and experience.
- Technical task followed by a competency-based interview.
HOW TO APPLY
Please register your interest via the apply link on this page.
Senior Modelling Credit Analyst in London employer: Harnham
As a Senior Modelling Credit Analyst at our UK-based financial services business, you will thrive in a dynamic work environment that combines the stability of a global organisation with the agility of a smaller operation. Enjoy competitive salary packages, hybrid working arrangements, and the opportunity to take full ownership of credit risk models, all while contributing to a growing team focused on innovation and excellence in the automotive and consumer finance sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Modelling Credit Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in credit risk modelling. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for those interviews! Brush up on your IFRS 9 knowledge and be ready to discuss your experience with PD and LGD models. Practising common interview questions can really help you stand out.
✨Tip Number 3
Show off your programming skills! If you've got experience with SAS or Python, make sure to highlight that in conversations. Maybe even bring along a project or two to showcase your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Modelling Credit Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Modelling Credit Analyst role. Highlight your experience with credit risk models, IFRS 9, and any programming skills you have in SAS or Python. 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 credit risk modelling and how your skills align with our needs. Keep it concise but engaging – we love a good story that showcases your expertise.
Showcase Relevant Experience:In your application, be sure to showcase any hands-on experience you've had with PD and LGD models. We’re keen on seeing how you've contributed to model development and validation in previous roles, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Harnham
✨Know Your Models Inside Out
Make sure you’re well-versed in credit risk models, especially IFRS 9. Brush up on your knowledge of PD, LGD, and EAD models, as these will be crucial in the interview. Be ready to discuss your hands-on experience and any specific challenges you've faced while developing or validating these models.
✨Showcase Your Programming Skills
Since programming experience in SAS and/or Python is key for this role, prepare to demonstrate your coding skills. Bring examples of past projects where you used these languages to develop credit risk models. If possible, practice explaining your code and the thought process behind it.
✨Understand the Business Context
Familiarise yourself with the automotive and consumer finance sectors, as well as the company’s position within the market. This will help you connect your technical skills to the business needs during the interview. Showing that you understand how credit risk modelling impacts the overall strategy can set you apart.
✨Prepare for Competency Questions
Expect competency-based questions that assess your problem-solving abilities and teamwork. Think of specific examples from your past experiences where you demonstrated leadership or overcame challenges in model development. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
