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- Tasks: Develop and monitor Credit Risk models while supporting regulatory assessments.
- Company: Leading investment bank with a focus on innovation and sustainability.
- Benefits: Up to £130,000 salary, bonuses, and flexible work-from-home options.
- Why this job: Join a dynamic team making an impact in credit and climate risk analytics.
- Qualifications: Strong background in credit risk model development and proficiency in R, Python, and SAS.
The predicted salary is between 78000 - 130000 £ per year.
A leading investment bank is seeking a talented and motivated Quantitative Risk Analyst to develop and monitor Credit Risk models for the EMEA region. The candidate will support regulatory assessments and develop climate risk modeling solutions.
A strong background in credit risk model development and proficiency in R, Python, and SAS is essential.
This full-time role offers up to £130,000 plus bonuses, with good work-from-home options available, ideally suited for candidates with a banking background.
VP, Credit Risk Analytics & Climate Modelling (EMEA) in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Credit Risk Analytics & Climate Modelling (EMEA) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and risk analytics space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your work with credit risk models. This will give you an edge during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your R, Python, and SAS skills before interviews. You might get asked to solve a problem on the spot, so being sharp is key.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a leg up. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace VP, Credit Risk Analytics & Climate Modelling (EMEA) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk model development and your proficiency in R, Python, and SAS. We want to see how your skills align 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 climate modelling. We love seeing candidates who can connect their personal motivations to our mission.
Showcase Your Analytical Skills: In your application, give examples of how you've used your analytical skills to solve complex problems in the banking sector. We’re looking for candidates who can demonstrate their ability to think critically and innovate in risk assessment.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Hunter Bond
✨Know Your Numbers
Make sure you brush up on your quantitative skills, especially in R, Python, and SAS. Be prepared to discuss specific models you've developed or worked with, and how they relate to credit risk analytics. This will show that you not only understand the theory but can also apply it practically.
✨Understand Climate Risk
Since this role involves climate risk modelling, do some research on current trends and regulations in this area. Be ready to discuss how climate factors can impact credit risk and share any relevant experiences you have in this field. It’ll demonstrate your proactive approach and genuine interest in the role.
✨Regulatory Knowledge is Key
Familiarise yourself with the regulatory landscape affecting credit risk in the EMEA region. Be prepared to talk about how you’ve supported regulatory assessments in the past and what you think are the key challenges facing the industry today. This will highlight your expertise and readiness for the role.
✨Showcase Your Banking Background
Since the position is ideally suited for candidates with a banking background, be sure to highlight your relevant experience. Share specific examples of how your previous roles have prepared you for this position, particularly in credit risk model development. This will help you stand out as a strong candidate.
