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- Tasks: Develop credit risk modelling skills while analysing residential mortgage data.
- Company: Leading UK building society with a people-focused culture.
- Benefits: Hybrid working, annual bonus, and generous pension contributions.
- Why this job: Join a purpose-driven organisation and make a real impact in the finance sector.
- Qualifications: Relevant degree or Masters and strong analytical skills.
- Other info: 12-18 month development programme with excellent career growth potential.
The predicted salary is between 28800 - 43200 £ per year.
A leading UK building society is looking for someone to develop credit risk modeling skills over 12-18 months. The role focuses on analysis and supporting credit risk models related to residential mortgages. Ideal candidates will have a relevant degree or Masters and analytical expertise.
In return, the company offers hybrid working, an annual bonus, and generous pension contributions. Apply now to be part of a purpose-driven organization centered around its people.
Credit Risk Modelling Analyst — Hybrid + 12% Bonus in Leeds employer: Leeds Building Society
Contact Detail:
Leeds Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modelling Analyst — Hybrid + 12% Bonus in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills and understanding of credit risk models. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your passion for the industry! When you get the chance to chat with potential employers, let them know why you’re excited about credit risk modelling and how you can contribute to their purpose-driven mission.
✨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 who are eager to grow and develop their skills in a supportive environment.
We think you need these skills to ace Credit Risk Modelling Analyst — Hybrid + 12% Bonus in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical expertise and any relevant experience in credit risk modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk analysis and how you can contribute to our purpose-driven organisation. Keep it concise but impactful!
Showcase Your Education: Since the ideal candidates have a relevant degree or Masters, make sure to prominently feature your educational background. We love seeing how your studies have prepared you for this role, so include any specific projects or coursework related to credit risk.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to explore more about our company culture while you’re at it!
How to prepare for a job interview at Leeds Building Society
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific credit risk models you've worked with. Familiarise yourself with key metrics related to residential mortgages, as this will show your understanding of the role.
✨Showcase Your Degree
Make sure to highlight your relevant degree or Masters during the interview. Be prepared to discuss how your academic background has equipped you with the necessary skills for credit risk modelling.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to credit risk and their modelling techniques. This not only shows your interest but also demonstrates your analytical mindset and eagerness to learn.
✨Emphasise Teamwork
Since the role is hybrid, emphasise your ability to work collaboratively in both remote and in-person settings. Share examples of how you've successfully contributed to team projects in the past, especially in analytical contexts.
