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- Tasks: Join our Model Risk Management team to validate and manage credit risk models.
- Company: Be part of a global bank with a strong reputation in the financial sector.
- Benefits: Enjoy permanent positions with competitive salary and opportunities for growth.
- Why this job: This role offers impactful work in model validation and stakeholder management.
- Qualifications: Strong experience in credit risk models and knowledge of Python, R, SQL, or SAS is preferred.
- Other info: McGregor Boyall is committed to equal opportunity employment.
The predicted salary is between 43200 - 72000 £ per year.
NEW PERMANENT POSITIONS
Model Risk Management positions, salary TBC, London, Global Bank.
My client is actively searching for Model Risk Management candidates to join their Model Risk Management team. These will be permanent positions based in London with salary and seniority TBC.
They are looking for:
- Strong experience with Credit Risk Models (IRB, LGD, PD, EAD etc)
- Model validation skillset
- Strong stakeholder management skills
- Ability to independently manage and validate models
- Python, R, SQL, SAS knowledge is desirable
If this would be of interest, please contact me directly at or click the link below!
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
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Model Risk Management Quant Positions employer: McGregor Recruitment
Contact Detail:
McGregor Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Risk Management Quant Positions
✨Tip Number 1
Make sure to highlight your experience with Credit Risk Models in your conversations. Be prepared to discuss specific models you've worked on, such as IRB, LGD, PD, and EAD, as this will demonstrate your expertise.
✨Tip Number 2
Showcase your model validation skills during interviews. Prepare examples of how you've independently managed and validated models in the past, as this is a key requirement for the role.
✨Tip Number 3
Develop your stakeholder management skills. Be ready to discuss how you've effectively communicated with different stakeholders in previous roles, as strong interpersonal skills are crucial for success in this position.
✨Tip Number 4
Brush up on your programming skills, especially in Python, R, SQL, and SAS. Being able to demonstrate your technical proficiency in these areas can set you apart from other candidates.
We think you need these skills to ace Model Risk Management Quant Positions
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the requirements of the Model Risk Management positions. Familiarize yourself with key concepts like Credit Risk Models, model validation, and the specific skills mentioned in the job description.
Highlight Relevant Experience: In your application, emphasize your experience with Credit Risk Models and any relevant model validation skills. Be specific about your past roles and how they relate to the responsibilities outlined in the job description.
Showcase Technical Skills: If you have experience with Python, R, SQL, or SAS, make sure to highlight this in your CV and cover letter. Provide examples of how you've used these tools in your previous work to validate models or manage risk.
Tailor Your Application: Customize your CV and cover letter for this specific position. Use keywords from the job description to demonstrate that you are a good fit for the role and that you understand what the company is looking for.
How to prepare for a job interview at McGregor Recruitment
✨Showcase Your Model Validation Skills
Be prepared to discuss your experience with model validation in detail. Highlight specific projects where you validated credit risk models like IRB, LGD, PD, and EAD, and explain the methodologies you used.
✨Demonstrate Stakeholder Management Experience
Since strong stakeholder management skills are crucial for this role, come equipped with examples of how you've effectively communicated and collaborated with various stakeholders in previous positions.
✨Highlight Technical Proficiency
Make sure to mention your proficiency in programming languages such as Python, R, SQL, and SAS. Be ready to discuss how you've applied these skills in your work, especially in relation to model development and validation.
✨Prepare for Behavioral Questions
Expect behavioral questions that assess your problem-solving abilities and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear examples.
