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- Tasks: Use data analysis to develop and document credit risk models.
- Company: Join a purpose-driven organisation focused on home ownership for all.
- Benefits: Hybrid working, annual bonus, matched pension contributions, and 26 days holiday.
- Why this job: Make a real impact in helping people achieve their dream of home ownership.
- Qualifications: Degree in Mathematics/Economics or equivalent experience; strong analytical skills required.
- Other info: Inclusive culture with excellent career development opportunities.
The predicted salary is between 28800 - 48000 £ per year.
We’ve been helping our members save for their future and buy their own home since 1875. Join us and you’ll play a big role in helping us to put home ownership within reach of more people, generation after generation. It’s a purpose that drives everything we do. And you can play your part too – join our Credit Risk Modelling team as a Credit Risk Modelling Analyst.
In the role of Credit Risk Modelling Analyst, you will use your data analysis and modelling skills to assist in the development and documentation of credit risk models and associated monitoring reports for the Society. You will be involved in developing and supporting credit risk models, these will conclude scorecards, IRB and IFRS9 model suites and forecasting models. This is a fantastic opportunity to grow your career with the Credit Risk Modelling team.
What will you bring to the role?
- Excellent analytical skills and a strong attention to detail.
- Problem solving/lateral thinking.
- Credit Risk analytical experience on retail mortgages portfolios.
- Ability to present conclusions and results to stakeholders.
- Develop and deepen understanding of the development life cycle of credit risk models.
- Academic level knowledge and understanding of statistical aspects to be used in Credit Risk modelling, such as Logistic and Linear Regression.
- Ability to prepare datasets for credit risk models using multiple data sources.
- A degree level and/or Masters qualification in a relevant numerate discipline e.g. Mathematics / Economics, or equivalent work experience.
And in return, you’ll get the best from us:
- Hybrid working – 2 days per week in the office
- Annual bonus of up to 12%
- Matched pension contributions up to 10%
- 26 days holiday, plus bank holidays and holiday purchase scheme
- Colleague Mortgage and Saver products
- 2 days’ volunteering per year
We’ll give you a place to belong with the support to learn, develop and shape a meaningful career.
Why choose us?
Our business is centred around our people. Our colleagues are at the heart of everything we do, as shown by our Inclusive Employers Gold accreditation in 2023 and 2025. We’re committed to equal opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. You’ll be joining a truly purpose-focused culture which helped us win the Leading with Purpose award at the 2023 Business Culture Awards. This recognises how we’ve embedded our purpose with our colleagues, and the actions we’ve taken to put home ownership within reach of more people, generation after generation.
We’re devoted to creating a culture and workplace that is representative of the communities we serve. If you’d like to work with us but are unsure if you meet the full criteria for a role, please contact the recruiter so we can find out more about your skills and experience. We’re committed to supporting you to be at your best - to discuss any reasonable adjustments we could make, please contact us.
Credit Risk Modelling Analyst 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 in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to credit risk modelling. Think about how your analytical skills can help the team and be ready to share examples from your experience.
✨Tip Number 3
Showcase your passion for the role! When you get the chance to chat with potential employers, let them know why you’re excited about helping people achieve home ownership through your work in credit risk.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Credit Risk Modelling Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Risk Modelling Analyst role. Highlight your analytical skills, attention to detail, and any relevant experience with credit risk models. We want to see how you can contribute to our purpose!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about helping people achieve home ownership and how your skills align with our mission. Keep it engaging and personal – we love a good story!
Showcase Your Skills: In your application, don’t forget to showcase your problem-solving abilities and your understanding of statistical methods like Logistic and Linear Regression. We’re looking for someone who can dive deep into data and present findings clearly.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on this fantastic opportunity to join our team!
How to prepare for a job interview at Leeds Building Society
✨Know Your Numbers
As a Credit Risk Modelling Analyst, you'll be dealing with data analysis and statistical models. Brush up on your knowledge of Logistic and Linear Regression, and be ready to discuss how you've applied these concepts in previous roles or projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past, especially related to credit risk. Think about specific scenarios where your analytical skills made a difference, and be ready to explain your thought process during the interview.
✨Understand the Development Life Cycle
Familiarise yourself with the development life cycle of credit risk models. Be prepared to discuss how you would approach developing and documenting these models, as well as any experience you have in preparing datasets from multiple sources.
✨Engage with Stakeholders
Since presenting conclusions to stakeholders is key in this role, practice articulating your findings clearly and confidently. Think about how you can tailor your communication style to different audiences, ensuring they understand the implications of your analyses.
