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- Tasks: Develop and monitor Credit Risk models for the EMEA region.
- Company: Leading Investment Bank with a supportive and high-performing team.
- Benefits: Competitive salary up to £130,000, bonus, and flexible work options.
- Why this job: Make a real impact in credit risk modelling and innovative solutions.
- Qualifications: Strong background in Credit Risk Model development and programming skills.
- Other info: Excellent career growth opportunities in a dynamic environment.
The predicted salary is between 78000 - 182000 £ per year.
My leading Investment Bank client are looking for a talented and motivated individual to take responsibility for developing, documenting, and monitoring Credit Risk models for their EMEA region. You will take initiative on activities supporting Regulatory and Internal Capital Assessments such as ICAAP, ICARA and others, as well as developing innovative solutions in climate risk modelling and scenario analysis exercise. The team is high performing yet supportive, with great management. A brilliant opportunity!
The following skills / experience is required:
- Strong background in Credit Risk Model development
- Programming languages, ideally R. Python, SAS are desirable
- Banking background
- Strong Excel and Access skills
- Good communication and stakeholder management skills
Salary: Up to £130,000 + bonus + package
Level: Vice President (VP)
Location: London (good work from home options available)
If you are interested in this Quantitative Risk Analyst position and meet the above requirements please apply immediately.
Analytics Modelling VP - Credit Risk employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Modelling VP - Credit Risk
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and analytics sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Credit Risk models or any relevant projects you've worked on. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your interview skills by doing mock interviews with friends or using online platforms. Focus on articulating your experience with programming languages like R and Python, as well as your stakeholder management skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes speed up the process and get you noticed quicker!
We think you need these skills to ace Analytics Modelling VP - Credit Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Credit Risk model development and any relevant programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your strengths!
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 your skills can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Since programming languages like R, Python, and SAS are key for this role, make sure to mention any projects or experiences where you’ve used these tools. We love seeing practical examples of your work!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Hunter Bond
✨Know Your Models Inside Out
Make sure you’re well-versed in the Credit Risk models you’ve developed. Be ready to discuss your approach to model development, documentation, and monitoring. Highlight any innovative solutions you've implemented, especially in climate risk modelling.
✨Brush Up on Your Programming Skills
Since programming languages like R, Python, and SAS are key for this role, ensure you can demonstrate your proficiency. Consider preparing a small project or example that showcases your coding skills and how they relate to Credit Risk modelling.
✨Excel and Access Mastery
Given the importance of Excel and Access in this position, practice using advanced functions and data analysis techniques. Be prepared to discuss how you’ve used these tools in past roles to support regulatory assessments or scenario analyses.
✨Communicate Effectively
Strong communication and stakeholder management skills are crucial. Think about examples where you’ve successfully communicated complex information to non-technical stakeholders. Practice articulating your thoughts clearly and confidently during the interview.
