At a Glance
- Tasks: Develop and monitor credit risk models using data and modelling techniques.
- Company: Join The Very Group, dedicated to helping families thrive with flexible payment options.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and well-being.
- Why this job: Make impactful decisions daily and see immediate results in a fast-paced setting.
- Qualifications: Bachelor's in a quantitative field; experience with statistical models and coding in SAS/SQL/Python/R.
- Other info: Inclusive employer offering reasonable adjustments during the application process.
The predicted salary is between 36000 - 60000 £ per year.
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 well-being.
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.
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 30-45 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. 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.
Senior Credit Risk Analyst - Modelling employer: The Very Group
Contact Detail:
The Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Analyst - Modelling
✨Tip Number 1
Familiarise yourself with the specific modelling techniques mentioned in the job description, such as linear and logistic regressions and decision trees. Being able to discuss these methods confidently during your interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Brush up on your coding skills in SAS, SQL, Python, or R. Consider working on a small project or case study that showcases your ability to extract and manipulate data, as this will give you practical examples to discuss during your interviews.
✨Tip Number 3
Prepare to articulate how you've used data to solve problems in previous roles. Think of specific examples where your analytical skills made a significant impact, especially in financial services or banking, as this will resonate well with the hiring team.
✨Tip Number 4
Since strong communication skills are essential for this role, practice explaining complex concepts in simple terms. You might want to do this with a friend or family member who isn't familiar with credit risk analysis, ensuring you can convey your ideas clearly to both technical and non-technical stakeholders.
We think you need these skills to ace Senior Credit Risk Analyst - Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk modelling and your proficiency in SAS, SQL, Python, or R. Use specific examples to demonstrate your skills in developing statistical models and working with Credit Bureau data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and problem-solving. Mention how your background aligns with the role's requirements and express your enthusiasm for contributing to The Very Group's mission of helping families.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples in your application of how you've successfully conveyed complex concepts to both technical and non-technical stakeholders in previous positions.
Prepare for Interviews: Familiarise yourself with common competency and technical questions related to credit risk modelling. Be ready to discuss your previous projects and how you approached problem-solving using data. Also, prepare thoughtful questions to ask during the interview.
How to prepare for a job interview at The Very Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SAS, SQL, Python, and R. Highlight specific projects where you developed statistical models, and be ready to explain your approach and the outcomes.
✨Understand the Business Context
Familiarise yourself with The Very Group's mission and how credit risk modelling fits into their operations. This will help you demonstrate your understanding of the role's impact on the business during the interview.
✨Prepare for Competency Questions
Expect questions that assess your problem-solving abilities and how you manage multiple priorities. Think of examples from your past experiences that showcase your skills in these areas.
✨Communicate Clearly
Practice explaining complex concepts in simple terms, as you'll need to convey your ideas to both technical and non-technical stakeholders. Clear communication is key to demonstrating your fit for the role.