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- Tasks: Develop and validate credit risk models while providing analytics services.
- Company: Leading consulting firm in Greater London with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of risk management and enhance your analytical skills.
- Qualifications: Experience with IFRS9 and strong skills in Python and Excel.
- Other info: Join a dynamic team and make a real impact in the industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm in Greater London is seeking a Credit Risk Analyst to enhance credit measurement capabilities for clients. You will work on developing and validating credit risk models, providing analytics services, and supporting external audits.
The ideal candidate will have experience with IFRS9 and strong skills in Python and Excel.
Join us and help shape the future of risk management while enjoying a hybrid working model.
Credit Risk Analytics Lead – IFRS9 & Modelling in London employer: Deloitte LLP
Contact Detail:
Deloitte LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analytics Lead – IFRS9 & Modelling in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with IFRS9 models and analytics projects. This is a great way to demonstrate your expertise in Python and Excel to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common credit risk scenarios and modelling techniques. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Credit Risk Analytics Lead – IFRS9 & Modelling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with IFRS9 and showcases your skills in Python and Excel. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk analytics and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Analytical Skills: In your application, highlight specific examples where you've developed or validated credit risk models. We’re looking for concrete evidence of your analytical prowess, so don’t hold back on the details!
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!
How to prepare for a job interview at Deloitte LLP
✨Know Your IFRS9 Inside Out
Make sure you brush up on your knowledge of IFRS9 regulations and how they apply to credit risk. Be prepared to discuss specific examples of how you've used these principles in your previous roles, as this will show your expertise and relevance to the position.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to talk about your experience with data analysis and model development using Python. Consider preparing a small project or example that demonstrates your coding abilities and problem-solving skills.
✨Excel is Your Best Friend
Excel proficiency is key in this role, so be prepared to discuss how you've used Excel for data manipulation, analysis, and reporting. You might even want to bring along a sample spreadsheet that showcases your skills, especially if it relates to credit risk analytics.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical thinking and decision-making skills. Think about past experiences where you had to validate models or support audits, and be ready to explain your thought process and the outcomes of your actions.
