At a Glance
- Tasks: Lead the validation of credit risk models and scorecards in a dynamic fintech environment.
- Company: Fast-growing London-based fintech lender with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a collaborative team in a rapidly evolving industry.
- Why this job: Join a key role that shapes credit risk strategies and drives impactful decisions.
- Qualifications: Experience in scorecard validation or development, with strong Python and SQL skills.
The predicted salary is between 70000 - 90000 € per year.
The opportunity: A fast-growing London-based fintech lender is hiring for a Model Validation Lead. This is a key 2nd line role focused on independent validation of credit risk and customer models with a key focus on scorecards and IFRS 9.
The team is particularly interested in candidates with strong scorecard experience, whether from a development or validation background.
- Scorecard validation or development experience
- Strong credit risk modelling knowledge (PD / IFRS 9 helpful)
- Python and SQL proficiency
- Experience within banking, fintech or lending environments
Model Validation Lead in Slough employer: Kinarden Search
Join a dynamic and innovative fintech lender in London, where you will play a pivotal role in shaping the future of credit risk management. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development and advancement. With a focus on cutting-edge technology and a commitment to employee well-being, we provide a rewarding environment for those looking to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Model Validation Lead in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with credit risk models. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with scorecards or Python, consider creating a mini-project or case study to demonstrate your expertise. This can really set you apart during interviews.
✨Tip Number 3
Prepare for the technical questions! Brush up on your credit risk modelling knowledge and be ready to discuss PD and IFRS 9. We want to see that you know your stuff and can apply it in real-world scenarios.
✨Tip Number 4
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 are proactive about their job search!
We think you need these skills to ace Model Validation Lead in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your scorecard experience and credit risk modelling knowledge. We want to see how your background aligns with the Model Validation Lead role, so don’t be shy about showcasing your relevant skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience with Python and SQL, and how it relates to the independent validation of credit risk models.
Showcase Your Experience:When detailing your past roles, focus on specific achievements related to model validation or development. We love numbers, so if you can quantify your impact, even better! It helps us see the value you could bring to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the Model Validation Lead position. Plus, it’s super easy!
How to prepare for a job interview at Kinarden Search
✨Know Your Scorecards
Make sure you brush up on your scorecard validation and development experience. Be ready to discuss specific projects you've worked on, the methodologies you used, and the outcomes. This will show that you not only understand the theory but also have practical experience.
✨Brush Up on IFRS 9
Since the role has a key focus on IFRS 9, it’s crucial to understand its implications in credit risk modelling. Prepare to explain how you’ve applied IFRS 9 in your previous roles and be ready to discuss any challenges you faced and how you overcame them.
✨Show Off Your Technical Skills
Proficiency in Python and SQL is essential for this role. Be prepared to talk about how you've used these tools in your work. If possible, bring examples of code or projects that demonstrate your skills, as this can really set you apart from other candidates.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends and challenges in the fintech sector, especially in lending. Being able to discuss how these factors impact model validation will show that you’re not just technically skilled but also aware of the broader context in which you’ll be working.
