Senior Credit Risk Modeller in Maidstone

Senior Credit Risk Modeller in Maidstone

Maidstone Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
Leeds Building Society

At a Glance

  • Tasks: Develop and maintain credit risk models to support our mission of home ownership.
  • Company: Join a purpose-driven organisation with a focus on community and inclusivity.
  • Benefits: Enjoy hybrid working, annual bonuses, generous holiday, and pension contributions.
  • Other info: Be part of a supportive culture that values diversity and personal growth.
  • Why this job: Make a real impact in helping people achieve their dream of home ownership.
  • Qualifications: Experience in credit risk modelling and strong analytical skills required.

The predicted salary is between 55000 - 65000 £ per year.

How you'll help us live our purpose. 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 Risk Modelling & Measurement team as a Senior Credit Risk Modeller.

How you'll make a difference:

  • You will support the Credit Risk team developing, monitoring, and maintaining credit risk models used across the society, within capital, provisioning, customer decisioning and other business needs.

What will you bring to the role?

  • Previous analytical or data science experience within credit risk or broader financial institutions, with exposure to developing predictive models.
  • Knowledge on principles of credit risk model development, including scorecard, Basel/IRB or IFRS9 modelling (PD, EAD, LGD, etc.).
  • UK retail lending experience.
  • In-depth knowledge and understanding of statistical aspects (especially these which are used in Credit Risk-Basel modelling): Logistic-Linear Regression, Scorecard development; model validation approaches (GINI coefficient; KS-statistics); Data sampling; Data mining; model maintenance frameworks.
  • Excellent analytical skills and a strong attention to detail.
  • A qualification in a degree with relevant analytical/statistical components.
  • Extensive coding experience (SAS, SQL, Python).

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.

Why wait? Apply now. We'd love to hear from you. But don't wait around - we may close the advert early and we'd hate for you to miss out. 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.

Senior Credit Risk Modeller in Maidstone employer: Leeds Building Society

Join a purpose-driven organisation that has been helping individuals achieve home ownership since 1875. As a Senior Credit Risk Modeller, you'll benefit from a supportive work culture that prioritises employee growth and inclusivity, alongside competitive perks such as hybrid working, generous holiday allowances, and a commitment to your professional development. With a focus on making a meaningful impact in the community, this is an excellent opportunity for those looking to contribute to a noble cause while advancing their career.

Leeds Building Society

Contact Details:

Leeds Building Society Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Credit Risk Modeller in Maidstone

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in credit risk. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your previous work with predictive models and statistical analysis. This will help us see your expertise in action during interviews.

Tip Number 3

Practice makes perfect! Brush up on common interview questions related to credit risk modelling and be ready to discuss your coding experience in SAS, SQL, and Python. Confidence is key!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our purpose-driven team.

We think you need these skills to ace Senior Credit Risk Modeller in Maidstone

Analytical Skills
Data Science Experience
Credit Risk Modelling
Predictive Modelling
Scorecard Development
Basel/IRB Modelling
IFRS9 Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your analytical skills, coding experience, and any relevant credit risk modelling work you've done. We want to see how you can make a difference!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk modelling and how your background aligns with our purpose. Let us know what drives you and how you can contribute to our mission.

Showcase Your Technical Skills:Since we're looking for someone with extensive coding experience, be sure to mention your proficiency in SAS, SQL, and Python. If you've worked on predictive models or have knowledge of statistical methods, don't hold back – we want to hear all about it!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen to join our team!

How to prepare for a job interview at Leeds Building Society

Know Your Models Inside Out

As a Senior Credit Risk Modeller, you'll need to demonstrate your understanding of credit risk models. Brush up on the principles of model development, including scorecard and Basel/IRB modelling. Be ready to discuss specific examples from your past experience where you've developed or validated these models.

Showcase Your Analytical Skills

Highlight your analytical prowess during the interview. Prepare to discuss statistical methods like Logistic-Linear Regression and GINI coefficients. Bring along examples of how you've applied these techniques in real-world scenarios, especially in UK retail lending.

Demonstrate Coding Proficiency

Since extensive coding experience is crucial for this role, be prepared to talk about your skills in SAS, SQL, and Python. You might even want to share a project where you used these languages to solve a complex problem or improve a model's performance.

Align with Their Purpose

This company is all about helping people achieve home ownership. Make sure to express your passion for their mission and how your work as a modeller contributes to that goal. Show them that you're not just looking for a job, but that you genuinely want to make a difference.