At a Glance
- Tasks: Develop and monitor credit risk models using data and innovative techniques.
- Company: Join the dynamic team at Very, a leading digital retailer.
- Benefits: Enjoy flexible working, 30 days holiday, and a £1000 benefits allowance.
- Other info: Inclusive culture with excellent support for personal and professional development.
- Why this job: Make impactful decisions in a fast-paced environment while growing your career.
- Qualifications: Degree in a quantitative field and experience with statistical modelling.
The predicted salary is between 50000 - 60000 £ per year.
About us
We’re 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 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 Team
You will work in the Modelling team within Credit Risk which is a team of 7 (Credit Risk department consists of c.60 FTE), working on multiple priorities within a fast-paced, dynamic environment. We don’t expect you to know everything, we have a friendly team who will be able to support you and help you settle in and learn. Given the current economic environment in the UK, it’s a very exciting and fulfilling time to be joining the team and there’s plenty of challenging initiatives to get involved in.
About the role
As a Senior Modelling Analyst you will be primarily responsible for developing, deploying and monitoring models across the credit risk life cycle (application, behaviour, collection and fraud) utilising a range of data and modelling techniques. You will also have the opportunity to develop bespoke models to meet a specific business need and drive benefit. You’ll work on multiple priorities within a fast paced, dynamic environment and need to be able to manage the expectations of stakeholders alongside prioritising your workload. Critical decisions are made here every day and acted upon immediately – giving you a chance to make a real impact, make decisions and quickly see the results.
About you
Our underlying requirement is to find the right candidate, so we’re keen to hear from you even if you don’t think you tick all of these boxes:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or a related discipline.
- Experience developing traditional statistical models (linear and logistic regressions and decision trees).
- Proficiency in SAS/SQL/Python/R coding for data extraction, manipulation, and modelling.
- Experience in financial services / banking.
- Understanding and experience of using Credit Bureau data.
- Highly intellectual and curious mind with a passion for using data to solve problems.
- Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.
Some of our benefits
Flexible, hybrid working model
Inclusive culture and environment, check out our Glassdoor reviews
£1000 flexible benefits allowance to suit your needs
30 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.
Diversity, inclusion and equal opportunities
We’re building a culture of everyday inclusion, and welcome applications from anyone who believes they can do the job. We don’t 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 talentacquisition@theverygroup.com. We’ll be happy to support you. We’re 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.
Senior Credit Risk Analyst - Modelling employer: Very Group
Contact Detail:
Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Analyst - Modelling
✨Tip Number 1
Get to know the company! Research Very and its values. When you understand what makes us tick, you can tailor your conversations to show how you fit right in. Plus, it’ll help you ask insightful questions during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with statistical models and coding. Practising common interview questions can also help you feel more confident when it’s your turn to shine.
✨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, it shows you’re genuinely interested in joining our team at Very!
We think you need these skills to ace Senior Credit Risk Analyst - Modelling
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and problem-solving shine through. We love candidates who are curious and eager to use their skills to make a difference, so share examples of how you've tackled challenges in the past!
Tailor Your CV: Make sure your CV is tailored to the role of Senior Credit Risk Analyst. Highlight your experience with statistical models and coding languages like SAS, SQL, Python, or R. We want to see how your background aligns with what we're looking for!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your skills and experiences, especially when discussing complex concepts. Remember, we want to understand your expertise without getting lost in jargon!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and benefits while you're at it!
How to prepare for a job interview at Very Group
✨Know Your Models
As a Senior Modelling Analyst, you'll be expected to have a solid grasp of statistical models like linear and logistic regressions. Brush up on these concepts and be ready to discuss how you've applied them in past roles. This will show your technical prowess and understanding of the credit risk landscape.
✨Showcase Your Coding Skills
Proficiency in SAS, SQL, Python, or R is crucial for this role. Prepare to demonstrate your coding skills during the interview, perhaps by discussing a project where you used these tools for data extraction or manipulation. Being able to articulate your thought process will impress the hiring team.
✨Communicate Clearly
You'll need to convey complex concepts to both technical and non-technical stakeholders. Practice explaining your modelling work in simple terms, as this will highlight your communication skills. Consider using examples from your experience to illustrate your points effectively.
✨Prepare for Stakeholder Management
Given the dynamic environment, managing stakeholder expectations is key. Think of instances where you've successfully prioritised tasks or navigated conflicting demands. Sharing these experiences will demonstrate your ability to thrive in a fast-paced setting and make a real impact.