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For Companies At a Glance
- Tasks: Develop and maintain IFRS9 models and credit scorecards for various lending portfolios.
- Company: Join a high-growth FinTech in London that's revolutionising the lending space.
- Benefits: Enjoy a hybrid work model with competitive salary and impactful projects.
- Why this job: Take ownership of models that go into production quickly, making a real-world impact.
- Qualifications: Strong experience in IFRS9 models and hands-on credit scorecard development required.
- Other info: Collaborate with cross-functional teams and ensure compliance with regulatory standards.
The predicted salary is between 42500 - 58500 £ per year.
Job Description
IFRS9 & Scorecard Model Development AnalystFinTech – London / Hybrid£50,000 – £65,000
This is a rare opportunity to take on end-to-end model ownership at a high-growth FinTech that's genuinely doing something different in the lending space.
You'll be joining a lean, technical team where your models actually go into production-quickly. That means real-world impact, clear feedback loops, and no long-winded sign-off processes.
THE ROLE
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Develop and maintain IFRS9 models: PD, LGD, and EAD models across various lending portfolios
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Design and build credit scorecards: Acquisition, behavioural, and collections scorecards using industry best practices (e.g. WOE binning, logistic regression)
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End-to-end model ownership: From data extraction and feature engineering to validation and deployment
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Collaborate cross-functionally: Work closely with credit risk, data engineering, product, and compliance teams
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Support model governance and documentation: Ensure models meet regulatory expectations and internal standards
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Conduct model monitoring and performance analysis: Regularly assess backtesting results and recalibrate when needed
REQUIREMENTS
- Strong experience building IFRS9 models (PD, LGD, EAD)
- Hands-on credit scorecard development (
- Python or SAS (ideally both)
- Solid understanding of lending products and credit risk lifecycle
HOW TO APPLY
Please send CV below or
IFRS9/ SCORECARD MODEL DEVELOPMENT ANALYST employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IFRS9/ SCORECARD MODEL DEVELOPMENT ANALYST
✨Tip Number 1
Familiarise yourself with the latest IFRS9 regulations and guidelines. Understanding the nuances of PD, LGD, and EAD models will not only boost your confidence but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Showcase your hands-on experience with Python and SAS by preparing a portfolio of projects or case studies. This practical demonstration of your skills can set you apart from other candidates and highlight your ability to deliver results.
✨Tip Number 3
Network with professionals in the FinTech space, especially those involved in credit risk and model development. Engaging in discussions or attending relevant meetups can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss real-world applications of your models during the interview. Be ready to explain how your previous work has impacted business decisions or improved processes, as this will demonstrate your ability to contribute meaningfully to our team.
We think you need these skills to ace IFRS9/ SCORECARD MODEL DEVELOPMENT ANALYST
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with IFRS9 models and credit scorecard development. Use specific examples that demonstrate your hands-on skills in Python or SAS, as well as your understanding of the lending products.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the FinTech industry and your ability to take on end-to-end model ownership. Mention how your previous experiences align with the responsibilities outlined in the job description.
Highlight Cross-Functional Collaboration: In your application, emphasise any past experiences where you collaborated with different teams, such as credit risk, data engineering, or compliance. This will show your ability to work effectively in a lean, technical environment.
Showcase Model Governance Knowledge: Demonstrate your understanding of model governance and documentation in your application. Mention any relevant experiences where you ensured compliance with regulatory expectations and internal standards.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with IFRS9 models and credit scorecard development during the interview. Be prepared to discuss specific projects you've worked on, particularly those involving Python or SAS, as these are crucial for the role.
✨Understand the Lending Landscape
Demonstrate a solid understanding of lending products and the credit risk lifecycle. This knowledge will show that you can effectively contribute to the team and understand the context in which your models will be used.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with various teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you can bridge the gap between technical and non-technical stakeholders.
✨Emphasise Model Governance and Compliance
Familiarise yourself with regulatory expectations and internal standards related to model governance. Be prepared to discuss how you ensure compliance in your previous work, as this is a key aspect of the role.
