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For Companies At a Glance
- Tasks: Lead the validation of credit risk models and develop insightful reports for stakeholders.
- Company: Top consumer finance FinTech based in London with a dynamic work culture.
- Benefits: Full-time position with competitive salary and opportunities for professional growth.
- Why this job: Make a real impact in the fintech space by validating crucial credit risk models.
- Qualifications: Experience in model validation, particularly in credit risk and unsecured lending.
- Other info: Fast-paced environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
I am hiring a Lead Model Validation Analyst for a top consumer finance FinTech based in London. Here you will lead the validation of all models, including credit risk models, across the whole business!
The Role
- Validating all models across the business including the credit risk models
- Focusing on the validation of IFRS9 and credit scorecard models
- Developing reports on the model validation for senior stakeholders
- Translating findings to be able to present to senior non-technical stakeholders
Your skills and experience
- Experience validating models for credit risk
- Experience working in unsecured lending
- Experience validating credit risk models in python and ideally experience using AI
- Experience working for a fintech/fast-paced business
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst
Lead Model Validation Analyst in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Model Validation Analyst in England
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with model validation. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with credit risk models and Python. This will help you stand out when you get the chance to meet potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common questions related to model validation and credit risk. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, it’s super easy!
We think you need these skills to ace Lead Model Validation Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in validating credit risk models and working in fintech. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 background makes you the perfect fit for our team. Keep it engaging and to the point.
Showcase Your Technical Skills: Since this role involves Python and possibly AI, make sure to mention any relevant technical skills or projects. We love seeing candidates who can demonstrate their expertise in these areas!
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 role. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Models Inside Out
Make sure you’re well-versed in the models you’ll be validating, especially credit risk models. Brush up on IFRS9 and credit scorecard models, as these will likely come up in conversation. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the theory but have practical knowledge too.
✨Prepare for Technical Questions
Expect some technical questions about model validation processes and tools, particularly in Python. Be ready to explain how you've used AI in your previous roles. Practising coding problems or discussing your approach to model validation can help you feel more confident during the interview.
✨Tailor Your Communication Style
Since you'll be presenting findings to senior non-technical stakeholders, practice translating complex technical jargon into simple terms. Think about how you can convey your insights clearly and concisely. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Show Your Passion for FinTech
Let your enthusiasm for the FinTech industry shine through! Share your thoughts on current trends and challenges in consumer finance. This not only shows that you’re engaged with the field but also that you’re proactive about staying informed, which is crucial in a fast-paced environment.
