Credit Risk Modelling Analyst
Hybrid
Liverpool, United Kingdom
Full Time
16-04-2025
Job Specifications
Internal use only - Grade G
About Us
We are The Very Group and we're here to help families get more out of life. We know that our customers work hard for their families and have a lot to balance in their busy lives. That's why we combine amazing brands and products with flexible payment options on Very.co.uk to help them say yes to the things they love. We're just as passionate about helping our people get more out of life too; building careers with real growth, a sense of purpose, belonging and wellbeing.
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
Culture: Collaborative, inclusive, and flexible work environment, check out our Glassdoor reviews
Some of our benefits
Flexible, hybrid working model
Inclusive culture and environment, check out our Glassdoor reviews
£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%
More benefits can be found on our career site
How To Apply
Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.
What happens next?
Our talent acquisition team will be in touch if you're successful so keep an eye on your emails! We'll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we're a good match, we'll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.
You can expect a two-stage interview process for this position:
1st stage - An informal 30-minute video call with the hiring team to discuss your skills and relevant experience. This is a great opportunity to find out more about the role and to ask any questions you may have.
2nd Stage - A one-hour formal interview where you can expect both competency and technical questions (task based) This can be held either in-person or remotely.
As an inclusive employer please do let us know if you require any reasonable adjustments.
If you'd like to know more about our interviews, you can find out here.
Equal opportunities
We're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About the Company
We’re the people behind Very, one of the largest digital retailers in the UK and Ireland. Our purpose is simple. We help families get more out of life. In fact, we believe that everyone deserves to get more out of life. Our customers, our own talented teammates, and the communities we work with. That’s why careers at Very are more than a job. We’re a place where brilliant people belong, grow, and are inspired and empowered to make a difference. Heaps of flexibility, great reward and benefits, and an inclusive culture wher... Know more
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