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- Tasks: Validate financial models and develop innovative challenger models for a leading FinTech.
- Company: Dynamic FinTech company at the forefront of the financial space.
- Benefits: Competitive salary, bonus, hybrid work model, and private medical care.
- Why this job: Join a growing team and make an impact on exciting modelling projects.
- Qualifications: Experience in model validation and proficiency in Python required.
- Other info: Enjoy 25 days holiday and opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
This successful FinTech has been growing significantly and has exciting plans and projects in the pipeline. They are at the forefront of the financial space and this role offers a chance for someone to work on hands-on model validation across their regulatory and wider models. This unique opportunity offers the rare chance to help grow the business and get involved in a range of modelling projects.
Within this, you can expect to work on:
- Validation of models across the bank, including IFRS9, Treasury, Scorecards and Forecasting
- Development of challenger models as necessary to enhance this area of the bank
- Supporting other teams across the business in the implementation and wider maintenance of these models
- Working closely with the broader bank to implement Machine Learning and AI models
Your Skills and Experience
- Essential to have experience in model validation
- Exposure to IFRS9 and wider credit models is essential
- Experience in Python
- Educated to at least degree level in a numerate degree
Salary and Benefits
- Bonus
- Hybrid work model
- Private medical care
- 25 days holiday
How to Apply
Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link.
Lead Model Validation Analyst in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Model Validation Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work in model validation. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got experience with Python or model validation, be ready to discuss specific projects or challenges you've tackled. We want to see how you think and solve problems!
✨Tip Number 3
Prepare for the unexpected! Be ready for technical questions or case studies during interviews. Practising these scenarios can help you feel more confident and showcase your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Model Validation Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Model Validation Analyst role. Highlight your experience in model validation and any exposure to IFRS9 and credit models. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t forget to showcase your Python skills! If you've worked on any relevant projects or have examples of your coding work, include them. This will help us see your technical abilities in action.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your experience and qualifications. We appreciate straightforward communication!
Apply Through Our Website: Remember to apply through our website using the 'Apply' link! This ensures your application goes directly to us, and we can review it promptly. We can't wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your Models
Make sure you brush up on your knowledge of model validation, especially IFRS9 and credit models. Be prepared to discuss specific examples from your past experience where you've validated models or developed challenger models.
✨Showcase Your Python Skills
Since Python is essential for this role, be ready to talk about your experience with it. Consider preparing a small project or example that demonstrates your coding skills and how you've used Python in model validation.
✨Understand the Business
Research the company’s recent projects and their position in the FinTech space. Being able to discuss how your skills can contribute to their growth and the implementation of Machine Learning and AI models will show your genuine interest.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their modelling projects or how they see the role evolving. It shows you're engaged and thinking about the bigger picture.
