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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 regulations.
- Benefits: Enjoy hybrid working, competitive salary, and performance bonuses.
- Why this job: Make a real impact in a dynamic environment while enhancing your quantitative skills.
- Qualifications: Background in Stats, Maths, Data Science or Engineering required.
- Other info: Visa transfer available for candidates already in the UK.
The predicted salary is between 51000 - 85000 £ per year.
We are hiring a Quantitative Risk Analyst up to £85,000 plus benefits and bonus. This is a hybrid role with 3 days in-office in London. Join a leading Credit Risk Modelling Team!
Are you ready to take your quantitative skills to the next level in a high-impact, regulation-driven environment? We are 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 Engineering
- Strong knowledge of IRB, CRR, EBA & PRA regulations
- Proficiency in SAS / SQL / other data tools
- Sharp analytical & problem-solving skills
- Excellent communication & report-writing abilities
- A proactive team player ready to make an impact
Why Join?
Work at the forefront of regulatory transformation.
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst up to £85,000, Hybrid/london
✨Tip Number 1
Familiarise yourself with the Internal Ratings Based (IRB) approach and the relevant regulations like CRR, EBA, and PRA. Understanding these frameworks will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your technical skills, especially in SAS and SQL. Consider working on personal projects or online courses that showcase your ability to analyse data and develop models, as this will give you practical examples to discuss during your interview.
✨Tip Number 3
Network with professionals in the quantitative risk field. Attend industry events or join relevant online forums to connect with others who can provide insights into the role and potentially refer you to opportunities at StudySmarter.
✨Tip Number 4
Prepare for behavioural interview questions by reflecting on your past experiences. Think about specific instances where you've demonstrated analytical skills, problem-solving abilities, and teamwork, as these are crucial for a Quantitative Risk Analyst.
We think you need these skills to ace Quantitative Risk Analyst up to £85,000, Hybrid/london
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, risk modelling, and any specific tools mentioned in the job description, such as SAS or SQL. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative risk analysis and your understanding of the Internal Ratings Based (IRB) approach. Mention specific projects or experiences that demonstrate your skills and how they align with the company's needs.
Showcase Your Analytical Skills: In your application, provide examples of how you've used your analytical and problem-solving skills in previous roles. Discuss any relevant projects where you developed models or conducted data analysis, particularly in a regulatory context.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role in quantitative risk analysis.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SAS, SQL, and any other data tools you are familiar with. Be prepared to discuss specific projects where you've applied these skills, especially in relation to PD, LGD, and EAD model development.
✨Understand Regulatory Frameworks
Familiarise yourself with the Internal Ratings Based (IRB) approach and relevant regulations such as CRR, EBA, and PRA. Demonstrating a solid understanding of these frameworks will show that you're ready to contribute effectively from day one.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Think of examples where you've identified data gaps or improved data quality, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice articulating your thoughts clearly. Prepare to discuss your previous experiences in model calibration and documentation, ensuring you can convey complex ideas in an understandable way.
