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- Tasks: Analyse data and develop models for credit risk assessment.
- Company: Join a leading team in credit risk modelling, shaping financial futures.
- Benefits: Enjoy a hybrid work model, competitive salary, and flexible hours.
- Why this job: Make a real impact in finance while honing your quantitative skills.
- Qualifications: A background in Stats, Maths, Data Science or Engineering is essential.
- Other info: Visa transfer available; no relocation or sponsorship offered.
The predicted salary is between 48000 - 64000 £ per year.
Job Description🚨 We\’re Hiring! | IRB Model Development 🚨Up to £80,000 plus benefits and bonus📍 Hybrid | 3 days in-office, London | Flexible working 🏦 Join a Leading Credit Risk Modelling Team!NO RELOCATION/SPONSORSHIP AVAILABLE – HOWEVER OPEN TO VISA TRANSFER IF ALREADY IN THE UK.Are you ready to take your quantitative skills to the next level in a high-impact, regulation-driven environment? We\’re on the lookout for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios. 💼📊🧠 What You’ll Be Doing:✅ Data analysis & model development for PD, LGD, and EAD✅ Building scorecards & stress testing models✅ Supporting IRB regulatory self-assessments✅ Identifying data gaps & ensuring quality remediation✅ Producing clear documentation & reporting✅ Supporting model calibration and ongoing reviews🧰 Your Toolkit:📘 Background in Stats, Maths, Data Science or Engin…
IRB Model Development Specialist employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IRB Model Development Specialist
✨Tip Number 1
Network with professionals in the credit risk modelling field. Attend industry events or webinars to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest regulations and standards related to IRB models. Being knowledgeable about current compliance requirements will show your commitment and understanding of the role during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've applied your quantitative skills, especially in model development or data analysis. Real-world examples will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Research StudySmarter's approach to credit risk modelling and be ready to share how your skills align with our goals. Tailoring your conversation to our values and mission can make a strong impression.
We think you need these skills to ace IRB Model Development Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, model development, and data analysis. Use specific examples that demonstrate your skills in PD, LGD, and EAD modelling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative risk analysis and your understanding of the IRB approach. Mention how your background aligns with the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your proficiency in statistical tools and programming languages relevant to model development. Mention any experience with scorecards and stress testing models, as these are key components of the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a regulatory-driven environment.
How to prepare for a job interview at Click To Hired
✨Showcase Your Quantitative Skills
Make sure to highlight your experience with data analysis and model development. Be prepared to discuss specific projects where you've worked on Probability of Default (PD), Loss Given Default (LGD), or Exposure at Default (EAD) models.
✨Understand Regulatory Requirements
Familiarise yourself with the IRB approach and relevant regulations. Demonstrating your knowledge of regulatory self-assessments and compliance will show that you are well-prepared for the role.
✨Prepare for Technical Questions
Expect technical questions related to statistical methods and model calibration. Brush up on your statistical toolkit and be ready to explain your thought process in developing scorecards and stress testing models.
✨Communicate Clearly
Since producing clear documentation and reporting is part of the job, practice explaining complex concepts in simple terms. This will help demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
