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 employer: Kinarden Search
Join a dynamic and innovative fintech lender in London, where we prioritise employee growth and development in a collaborative work culture. Our commitment to fostering talent is matched by competitive benefits and a focus on work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Model Validation Lead
✨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 those tricky interview questions! Brush up on your knowledge of IFRS 9 and credit risk modelling. We recommend practising with a friend or using mock interviews to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Model Validation Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your scorecard validation or development experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your credit risk modelling knowledge!
Show Off Your Skills:If you’ve got Python and SQL skills, let us know! Include specific examples of how you've used these tools in your previous roles. This will help us see your technical prowess right off the bat.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about model validation and how your experience fits with our fintech environment. We love seeing enthusiasm and a good fit!
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 role. Don’t miss out!
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 focuses on IFRS 9, it’s crucial to have a solid grasp of its principles. Prepare to explain how you’ve applied IFRS 9 in your previous roles, especially in relation to credit risk modelling. This will demonstrate your expertise and relevance to the position.
✨Show Off Your Technical Skills
Python and SQL are key for this role, so be prepared to discuss your proficiency in these languages. Consider bringing examples of scripts or queries you've written that relate to model validation. This will help us see your technical capabilities in action.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends and challenges in the fintech sector, particularly in lending. Being able to discuss how these factors impact model validation will show that you’re not just qualified, but also genuinely interested in the industry.
