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- Tasks: Build and enhance statistical models for credit decisioning and portfolio monitoring.
- Company: Global consulting firm in the UK with a focus on analytics.
- Benefits: Flexible working options, study support, and comprehensive health benefits.
- Why this job: Join a dynamic team and make an impact in credit risk modelling.
- Qualifications: 3+ years of experience in quantitative analytics and strong programming skills.
- Other info: Opportunity for professional growth in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A global consulting firm in the UK is searching for a Quantitative Analytics & Risk Modelling Senior Consultant with at least 3 years of experience. The role focuses on building and enhancing statistical models for credit decisioning and portfolio monitoring. It requires strong analytical and programming skills, and the ability to communicate complex ideas effectively.
This position offers flexible working options and a comprehensive benefits package including study support and health benefits.
Senior Credit Risk Modeller – Hybrid & Analytics Lead employer: RSM
Contact Detail:
RSM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Modeller – Hybrid & Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk and analytics space on LinkedIn. We can leverage our connections to get insights about the role and even potential referrals.
✨Tip Number 2
Prepare for those interviews! Brush up on your statistical modelling techniques and be ready to discuss your past projects. We should practice explaining complex ideas in simple terms, as communication is key in this role.
✨Tip Number 3
Showcase your programming skills! If you’ve worked with specific tools or languages relevant to credit risk modelling, make sure to highlight that in conversations. We want to demonstrate our technical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications and follow up easily.
We think you need these skills to ace Senior Credit Risk Modeller – Hybrid & Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk modelling and analytics. We want to see how your skills align 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 this role and how your background makes you a perfect fit. We love seeing personality, so let your enthusiasm come through!
Showcase Your Analytical Skills: Since the role requires strong analytical skills, include specific examples of how you've used data to drive decisions or improve processes. We’re keen to see your problem-solving abilities in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at RSM
✨Know Your Models Inside Out
Make sure you’re well-versed in the statistical models relevant to credit decisioning and portfolio monitoring. Be ready to discuss your previous projects, the methodologies you used, and the outcomes. This shows you not only understand the theory but can apply it practically.
✨Brush Up on Your Programming Skills
Since the role requires strong programming skills, be prepared to demonstrate your proficiency in languages like Python or R. You might be asked to solve a coding problem or explain how you've used these skills in past projects, so practice beforehand!
✨Communicate Complex Ideas Simply
You’ll need to convey complex analytical concepts clearly. Practice explaining your work to someone without a technical background. This will help you articulate your thoughts during the interview and show that you can bridge the gap between analytics and business needs.
✨Show Enthusiasm for Flexible Working
With the role offering flexible working options, express your excitement about this aspect. Share how you’ve successfully managed your time and productivity in hybrid settings before. This demonstrates that you’re adaptable and ready to thrive in their work environment.
