Analytics Modelling VP - Credit Risk in London
Analytics Modelling VP - Credit Risk

Analytics Modelling VP - Credit Risk in London

London Full-Time 78000 - 182000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and monitor Credit Risk models while supporting regulatory assessments.
  • Company: Leading Investment Bank with a focus on innovation and collaboration.
  • Benefits: Competitive salary, bonus, flexible work options, and comprehensive package.
  • Why this job: Make a real impact in the finance sector with innovative climate risk solutions.
  • Qualifications: Strong background in Credit Risk model development and programming skills.
  • Other info: Mid-senior level role with excellent career growth opportunities in London.

The predicted salary is between 78000 - 182000 £ per year.

My leading Investment Bank client is looking for a talented and motivated individual to take responsibility for developing, documenting, and monitoring Credit Risk models for the 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.

Responsibilities

  • Develop, document, and monitor Credit Risk models for the EMEA region.
  • Support Regulatory and Internal Capital Assessments such as ICAAP and ICARA.
  • Develop innovative solutions in climate risk modelling and scenario analysis exercise.

Qualifications & Experience

  • 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

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 in London employer: Hunter Bond

As a leading Investment Bank, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and professional growth. Our London office offers excellent work-from-home options, competitive salaries, and a comprehensive benefits package, making it an ideal environment for talented individuals looking to make a meaningful impact in the field of Credit Risk modelling. Join us to be part of a forward-thinking team dedicated to developing cutting-edge solutions in the financial services sector.
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Contact Detail:

Hunter Bond Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Modelling VP - Credit Risk in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the banking and finance sectors, especially those who work in credit risk. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Prepare for interviews by brushing up on your technical skills. Since you’ll be dealing with Credit Risk models, make sure you can confidently discuss your experience with programming languages like R and Python. Practice common interview questions related to model development and regulatory assessments.

✨Tip Number 3

Showcase your innovative side! Be ready to discuss any unique solutions you've developed in climate risk modelling or scenario analysis. Employers love candidates who think outside the box and can bring fresh ideas to the table.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team in making a difference in the investment banking world.

We think you need these skills to ace Analytics Modelling VP - Credit Risk in London

Credit Risk Model Development
R Programming
Python Programming
SAS Programming
Excel Skills
Access Skills
Regulatory Knowledge (ICAAP, ICARA)
Climate Risk Modelling
Scenario Analysis
Communication Skills
Stakeholder Management
Analytical Skills
Problem-Solving Skills

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 banking experience!

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 you can contribute to our innovative solutions. Keep it concise but impactful – we love a good story!

Showcase Your Skills: Don’t forget to mention your proficiency in programming languages like R, Python, and SAS. If you’ve got strong Excel and Access skills, let us know! We’re looking for candidates who can hit the ground running.

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. We can’t wait to hear from you!

How to prepare for a job interview at Hunter Bond

✨Know Your Models Inside Out

Make sure you can discuss your experience with Credit Risk models in detail. Be prepared to explain the methodologies you've used, the challenges you've faced, and how you've overcome them. This shows your depth of knowledge and passion for the field.

✨Brush Up on Programming Skills

Since programming languages like R, Python, and SAS are key for this role, ensure you're comfortable discussing your coding experience. You might even want to prepare a small coding exercise or example to showcase your skills during the interview.

✨Understand Regulatory Frameworks

Familiarise yourself with ICAAP and ICARA processes, as well as any recent changes in regulations that could impact Credit Risk modelling. Being able to discuss these topics will demonstrate your proactive approach and understanding of the industry.

✨Communicate Effectively

Strong communication and stakeholder management skills are crucial. Practice articulating complex concepts in simple terms, as you'll need to convey your ideas clearly to both technical and non-technical stakeholders. This will set you apart as a candidate who can bridge gaps effectively.

Analytics Modelling VP - Credit Risk in London
Hunter Bond
Location: London

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