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- Tasks: Validate financial models, including IFRS 9 and AI/ML models, ensuring accuracy and compliance.
- Company: Disruptive UK bank with a focus on innovation and risk management.
- Benefits: Flexible holiday policy, private medical insurance, and a supportive work environment.
- Why this job: Join a forward-thinking team and make a significant impact in model validation.
- Qualifications: Graduate-level education in a numerical discipline and experience in model validation.
- Other info: Based in Cardiff with opportunities for professional growth.
The predicted salary is between 42000 - 60000 £ per year.
A disruptive UK bank is seeking a talented Lead Risk Analyst - Model Validation to join its Model Risk Oversight Team. This role focuses on validating various financial models, such as IFRS 9 and AI/ML models.
Candidates should possess a graduate-level education in a numerical discipline and relevant experience in model validation.
The position is based in Cardiff and offers a variety of benefits including a flexible holiday policy and private medical insurance.
Senior Model Risk Validator - AI & IFRS9 in Cardiff employer: Starling
Contact Detail:
Starling Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Model Risk Validator - AI & IFRS9 in Cardiff
✨Tip Number 1
Network like a pro! Reach out to professionals in the banking and risk validation space on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Prepare for those tricky interview questions! Brush up on your knowledge of IFRS 9 and AI/ML models. We recommend practising with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 3
Showcase your skills! Bring along examples of your previous work in model validation to the interview. This will help demonstrate your expertise and how you can add value to the team.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Senior Model Risk Validator - AI & IFRS9 in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in model validation, especially with IFRS 9 and AI/ML models. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about model risk validation and how you can contribute to our team. We love seeing candidates who are genuinely excited about the role and our mission.
Showcase Your Numerical Skills: Since this role requires a strong numerical background, make sure to highlight any relevant qualifications or experiences that demonstrate your analytical abilities. We’re looking for someone who can dive deep into data and come up with insights!
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 – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Starling
✨Know Your Models Inside Out
Make sure you’re well-versed in the financial models relevant to the role, especially IFRS 9 and AI/ML models. Brush up on their validation processes and be ready to discuss your experience with them in detail.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking and problem-solving abilities. Think of specific examples from your past work where you successfully validated models or tackled complex data challenges.
✨Understand the Bank's Vision
Research the disruptive UK bank’s mission and values. Be prepared to explain how your skills and experiences align with their goals, particularly in the context of model risk oversight and innovation.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use for model validation, and how they approach risk management. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
