Credit Risk Modelling Analyst

This is a graduate-friendly, hybrid role focused on data analytics, AI/ML, and credit risk. It combines technical modeling skills with business and financial analysis, offering strong development pathways for early-career candidates.

About us

Our purpose, helping families get more out of life, powers everything we do. And we want our people to get more out of life too! If you’re high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you’ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go.

If you love making a difference, you’ll love making it sparkle for millions of Very customers. ✨

About the role

Our in-house credit risk and analytics teams are the backbone of our business, leveraging advanced analytical techniques to ensure we lend responsibly and sustainably. As a credit risk modelling analyst, you’ll design, deploy, and monitor cutting-edge predictive models that empower smarter decisions at every stage of the credit lifecycle.

From developing machine learning data driven models used in risk assessment to detecting fraudulent transactions in real time, you’ll work on a diverse range of projects that have a real impact to our customers. The role would suit a recent Graduate with a degree in a quantitative field such as Mathematics, Statistics or Data Science.

About you

• Talented and ambitious graduates with a degree in a quantitative field such as Statistics, Mathematics, Data Science or a related discipline (we are open to candidates with commercial experience)

• Highly intellectual and curious mind with a passion for using data to solve problems.

• A proactive and self-motivated attitude with a keen attention to detail.

• Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.

• Experience in coding with SQL, Python and/or developing statistical models (linear/logistic regression, machine learning etc) is advantageous but not a requirement.

Key Responsibilities

• Develop predictive models using advanced statistical methods (e.g., logistic regression, XGBoost, neural networks) to empower decisions across the credit lifecycle.

• Continuously monitor model performance metrics (e.g Accuracy, Gini, stability), troubleshoot deviations, and report findings to key stakeholders.

• Collaborate cross functionally to deploy models and quantify impacts on customer outcomes and commercial value

• Research new modelling techniques (e.g. machine learning/AI) and alternative data sources to enhance predictive power and drive value.

Why join us?

• Real World Impact: Your work will directly influence lending decisions and risk policies for over 3 million customers

• Career Development: Tailored development plans will allow you to develop into a senior analyst with further opportunities to move into a managerial or lead analyst role

Some of our benefits

• Flexible, hybrid working mode

• £250 flexible benefits allowance to suit your needs

• 27 days holiday + bank holidays

• Udemy learning access

• Bonus potential (performance and business-related)

• Up to 25% discount on Very.co.uk

• Matched pension up to 6%