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For Companies At a Glance
- Tasks: Develop and maintain innovative credit risk models using cutting-edge technology.
- Company: Join Propel, a dynamic fintech company revolutionising access to credit.
- Benefits: Enjoy 25 days holiday, pension, and incredible growth opportunities.
- Why this job: Make a real impact in a vibrant, entrepreneurial environment.
- Qualifications: Degree in Maths or Data Science; experience in credit risk modelling required.
- Other info: Embrace diversity and inclusion in a supportive workplace culture.
The predicted salary is between 60000 - 80000 £ per year.
Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit. To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.
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)
- Clear methodology
- Reproducible code
- Forward‑looking assumptions
- Overlays and scenario analysis
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 (e.g. 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 Inc.
Contact Detail:
Propel Holdings Inc. 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 at Propel. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your credit risk models and how they’ve made an impact. This is your chance to shine!
✨Tip Number 3
Be ready for a chat about your ideas! Propel loves innovation, so come armed with thoughts on how you’d enhance their credit risk models. They want to hear your vision!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Propel team.
We think you need these skills to ace Credit Risk Modelling Manager in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Credit Risk Modelling Manager. Highlight your experience in credit risk modelling and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for fintech and how you can contribute to our mission at Propel. Be sure to mention specific experiences that demonstrate your fit for the role.
Showcase Your Technical Skills: Since this role requires proficiency in Python, R, SQL, or similar languages, make sure to highlight your technical skills clearly. Include any relevant projects or achievements that demonstrate your expertise in these areas.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Propel Holdings Inc.
✨Know Your Models Inside Out
Make sure you can discuss your experience with credit risk models in detail. Be prepared to explain how you've developed, monitored, and validated these models, especially focusing on application scorecards and behavioural scorecards. This shows you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Technical Skills
Brush up on your programming skills, particularly in Python, R, or SQL. Be ready to discuss specific projects where you've used these languages for model development or data analysis. Highlighting your technical prowess will demonstrate that you can contribute effectively from day one.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory expectations surrounding model governance and risk management, especially those relevant to the FCA. Being able to articulate how your work aligns with these standards will show that you’re not only technically skilled but also aware of the broader implications of your role.
✨Prepare for Cross-Functional Collaboration
Think about examples where you've worked with different teams, such as Credit Risk, Underwriting, or Compliance. Be ready to discuss how you translated model outputs into actionable insights and how you ensured smooth deployment into production environments. This will highlight your ability to work collaboratively in a fast-paced fintech setting.