At a Glance
- Tasks: Enhance clients' credit measurement capabilities through analytics and support audit processes.
- Company: Leading global consultancy with a focus on innovation and teamwork.
- Benefits: Flexible working hours and the chance to lead a diverse team.
- Why this job: Join a dynamic environment and make a real impact in credit risk analytics.
- Qualifications: Extensive experience in credit risk modelling and strong skills in SAS, SQL, Python, and R.
- Other info: Opportunity for professional growth in an innovative setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading global consultancy is hiring a Credit Risk Analytics and Modelling Assistant Manager to enhance clients' credit measurement capabilities. The role involves providing analytics services, supporting audit processes related to IFRS9, and improving credit measurement ecosystems.
Candidates should have:
- Extensive experience in credit risk modelling
- Strong technical skills in SAS, SQL, Python, and R
- Excellent communication abilities
The position offers flexibility and the opportunity to lead a diverse team in an innovative environment.
Credit Risk Analytics & Modelling Assistant Manager in London employer: Campion Pickworth
Contact Detail:
Campion Pickworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analytics & Modelling Assistant Manager 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 valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in SAS, SQL, Python, and R. We want to see your technical prowess in action, so don’t hold back!
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to credit risk modelling. We suggest doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who can enhance our clients' credit measurement capabilities.
We think you need these skills to ace Credit Risk Analytics & Modelling Assistant Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk modelling and technical skills in SAS, SQL, Python, and R. We want to see how your background aligns with the role, so don’t be shy about showcasing 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 enhance our clients' credit measurement capabilities. Let us know what makes you the perfect fit for this innovative environment.
Show Off Your Communication Skills: Since excellent communication abilities are key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or engaging storytelling in your cover letter, we want to see how you can convey complex ideas simply.
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 let us know you’re interested!
How to prepare for a job interview at Campion Pickworth
✨Know Your Credit Risk Models
Make sure you brush up on your knowledge of credit risk modelling techniques. Be prepared to discuss specific models you've worked with and how they relate to IFRS9. This will show that you understand the nuances of the role and can contribute effectively.
✨Show Off Your Technical Skills
Since the job requires strong technical skills in SAS, SQL, Python, and R, be ready to demonstrate your proficiency. You might be asked to solve a problem or analyse data on the spot, so practice coding challenges beforehand to boost your confidence.
✨Communicate Clearly and Confidently
Excellent communication is key in this role. Practice explaining complex concepts in simple terms, as you may need to present your findings to clients or team members who aren't as technically savvy. Clear communication can set you apart from other candidates.
✨Prepare for Team Leadership Questions
As you'll be leading a diverse team, think about your leadership style and experiences. Prepare examples of how you've successfully managed teams in the past, focusing on collaboration and innovation. This will help demonstrate your fit for the role.