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- Tasks: Lead AI-driven credit risk analytics and build predictive systems for portfolio optimisation.
- Company: Join a leading global payroll and HR platform at the forefront of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in enhancing credit access for underserved markets.
- Qualifications: Experience in credit risk management and strong leadership skills required.
- Other info: Be part of a dynamic team driving the global work revolution.
The predicted salary is between 54000 - 84000 £ per year.
A leading global payroll and HR platform is seeking a key role in Credit Risk & Analytics. This position involves building predictive analytics systems, leading AI/ML-based underwriting, and ensuring compliance.
The ideal candidate will have significant experience in credit risk management, the ability to lead teams, and a strong academic background. You will contribute to scalable solutions that drive portfolio optimization and enhance credit access in underserved markets.
Join a company at the forefront of the global work revolution.
Head of Credit Risk & AI Analytics in London employer: Deel
Contact Detail:
Deel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Credit Risk & AI Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk and analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your AI/ML knowledge. Be ready to discuss how you've used predictive analytics in past roles. We want you to showcase your experience in leading teams and driving portfolio optimisation.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and goals. Check out our website for openings that match your skills in credit risk management and analytics. We’re all about finding the right fit!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Use this opportunity to reiterate your passion for the role and how you can contribute to scalable solutions in credit access.
We think you need these skills to ace Head of Credit Risk & AI Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk management and AI analytics. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and how you can contribute to our mission. We love seeing candidates who can connect their personal goals with our company’s vision.
Showcase Leadership Skills: Since this role involves leading teams, make sure to highlight your leadership experience. We’re looking for examples of how you’ve successfully managed teams or projects in the past, especially in the context of analytics and compliance.
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 gives you a chance to explore more about what we do!
How to prepare for a job interview at Deel
✨Know Your Stuff
Make sure you brush up on your knowledge of credit risk management and predictive analytics. Be ready to discuss specific projects you've worked on, especially those involving AI/ML-based underwriting. This shows you’re not just familiar with the concepts but have practical experience.
✨Show Leadership Skills
Since this role involves leading teams, be prepared to share examples of how you've successfully managed and motivated a team in the past. Highlight any challenges you faced and how you overcame them, as this demonstrates your ability to lead effectively.
✨Understand the Company’s Mission
Familiarise yourself with the company’s goals, especially their focus on enhancing credit access in underserved markets. This will help you align your answers with their mission and show that you’re genuinely interested in contributing to their vision.
✨Prepare Questions
Have a few insightful questions ready to ask at the end of the interview. This could be about their current projects in AI analytics or how they measure success in credit risk management. It shows you’re engaged and thinking critically about the role.
