Credit Risk Modelling Manager in Nottingham

Credit Risk Modelling Manager in Nottingham

Nottingham Full-Time 60000 - 80000 € / year (est.) No home office possible
P

At a Glance

  • Tasks: Lead the development and monitoring of innovative credit risk models in a fast-paced fintech environment.
  • Company: Join a vibrant fintech company that values your ideas and promotes growth.
  • Benefits: Enjoy 25 days holiday, pension, and opportunities for career advancement.
  • Other info: Embrace a culture of equality, diversity, and inclusion in a dynamic workplace.
  • Why this job: Make a real impact on financial decision-making while collaborating with diverse teams.
  • Qualifications: Degree in Maths or related field; experience in credit risk modelling required.

The predicted salary is between 60000 - 80000 € per year.

About You

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

Responsibilities

  • Develop, enhance, and maintain credit risk models across the lifecycle, including:
    • Application scorecards
    • Behavioural scorecards
    • Affordability models
    • Collections models
    • PD / LGD / EAD models (where applicable)
  • Take full ownership from opportunity identification through to deployment and performance tracking

Model Performance & Monitoring

  • Design and implement robust model monitoring frameworks, including performance tracking, stability metrics, and early warning indicators
  • Define RAG thresholds and triggers for recalibration, redevelopment, or decommissioning
  • Ensure ongoing model performance, stability, and business relevance

Model Governance & Controls

  • Maintain a comprehensive model inventory, ensuring clear ownership, documentation, and traceability
  • Ensure all models meet internal governance standards and external regulatory expectations
  • Manage model change control, approvals, and versioning with clear audit trails
  • Ensure models are transparent, explainable, and fully auditable

Validation, Audit & Compliance

  • Support independent model validation and audit reviews, providing:
    • Clear methodology
    • Reproducible code
  • Ensure alignment with model risk management frameworks and FCA expectations
  • Partner with Finance to support IFRS 9 impairment modelling, including:
    • Forward‑looking assumptions
    • Overlays and scenario analysis
  • Ensure strong controls, governance, and alignment with portfolio performance
  • Ensure all models align with risk appetite, affordability standards, and fairness principles
  • Embed responsible lending and customer‑centric outcomes into model design and decisioning

Cross‑Functional Collaboration

  • Work closely with Credit Risk, Underwriting, Operations, Compliance, and Technology
  • Translate model outputs into clear, actionable business insights and decision frameworks
  • Support safe and controlled deployment into production environments

Requirements

  • Degree in Maths, Data Science, Statistics, Economics or similar.
  • Experience in credit risk/financial services modelling including end‑to‑end model development and monitoring.
  • Strong experience with logistic regression / scorecard‑style models (eg feature engineering, variable selection, calibration, performance measurement) with experience in advanced ML approaches desirable.
  • Proficiency in Python, R, SQL or other programming languages.
  • Experience working with credit bureau data and large multi‑source data.
  • Understanding of model governance and model risk management expectations.

Benefits to Joining Propel

  • Pension
  • 25 days holidays, increasing by 1 day per year (up to 30)
  • Growth and opportunity - we pride ourselves on promoting from within
  • Incredible company culture

Equality, Diversity & Inclusion

Our organisation is made up of brilliant people. Each of us is unique, whether in terms of our background, personal characteristics, experience, skills or motivations. And we value our people for the differences they bring to the table. These differences - this diversity is powerful. Fostering an inclusive culture helps each of us to benefit from a wider range of these different perspectives, experiences and skills. We believe that this creates a happier, more productive working environment for us all.

Credit Risk Modelling Manager in Nottingham employer: Propel Holdings

At Propel, we offer a dynamic and inclusive work environment where your contributions are not just acknowledged but celebrated. With a strong focus on employee growth, we provide ample opportunities for advancement, alongside a competitive benefits package that includes generous holiday allowances and a robust pension scheme. Join us in our vibrant fintech setting, where innovation thrives and diverse perspectives drive our success.

P

Contact Detail:

Propel Holdings Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Credit Risk Modelling Manager in Nottingham

Tip Number 1

Network like a pro! Reach out to people in the fintech space, especially those working in credit risk. A casual chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your credit risk models and any relevant projects. This gives potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with model development and governance, as well as how you’ve tackled challenges in the past.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Credit Risk Modelling Manager in Nottingham

Credit Risk Modelling
Application Scorecards
Behavioural Scorecards
Affordability Models
Collections Models
PD / LGD / EAD Models
Model Performance Monitoring

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for credit risk modelling shine through. We want to see how motivated you are by goals and how you thrive in a fast-paced fintech environment.

Tailor Your Experience:Make sure to highlight your relevant experience in credit risk modelling. We’re looking for specific examples of your work with scorecards, model performance, and governance that align with the responsibilities outlined in the job description.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to see how you fit into our vibrant team.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.

How to prepare for a job interview at Propel Holdings

Know Your Models Inside Out

Make sure you can discuss the credit risk models you've worked on in detail. Be prepared to explain your approach to developing application scorecards or behavioural models, and how you ensure they meet governance standards. This shows your expertise and ownership of your work.

Demonstrate Your Technical Skills

Brush up on your programming skills, especially in Python, R, or SQL. Be ready to talk about specific projects where you've used these languages for model development or performance tracking. Highlighting your technical prowess will set you apart from other candidates.

Showcase Your Collaborative Spirit

Since this role involves cross-functional collaboration, think of examples where you've successfully worked with teams like Credit Risk, Underwriting, or Compliance. Share how you translated model outputs into actionable insights, as this demonstrates your ability to communicate effectively across departments.

Prepare for Scenario Questions

Expect questions that assess your understanding of model governance and risk management frameworks. Prepare to discuss how you would handle model recalibration or decommissioning based on performance metrics. This will show that you're not just technically skilled but also understand the broader implications of your work.