Credit Risk Modelling Analyst

Internal use only - Grade G

About us

Were the team behind digital retailer Very.

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 youre high-performing ambitious and make the most of every opportunity we want to hear from return youll 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 youll 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 youll 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 youll 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 outour 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
• 27days holiday bank holidays
• Udemy learning access
• Bonus potential (performance and business-related)
• Up to 25% discount on

• Matched pension up to 6%
• More benefits can be foundon 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 youre successful so keep an eye on your emails! Well arrange a short call to learn more about you as well as answer any questions you have. If it feels like were a good match well 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 youd like to know more about our interviews you can find out here.

Diversity inclusion and equal opportunities
Werebuilding a culture of everyday inclusion and welcome applications from anyone who believes they can do the job. We dont discriminate based on age disability gender reassignment marriage or civil partnership pregnancy or maternity race religion or belief sex or sexual orientation.

We want our recruitment process to be accessible to everyone. If you need reasonable adjustments to apply interview or perform a role let us know via Well be happy to support you.

Were proud to be a Disability Confident Committed Employer and have nine brilliant colleague networks - including DAWN (Disability Awareness at Very) and Think (Neurodiversity at Very) - that are helping us make Very an even more inclusive place to work.

Required Experience:

IC