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For Companies At a Glance
- Tasks: Analyse and validate scoring models while collaborating with policy teams to drive insights.
- Company: Join The Very Group, a family-focused company that values growth and wellbeing.
- Benefits: Enjoy flexible working, 27 days holiday, learning access, and a £250 benefits allowance.
- Why this job: Make a real impact in credit risk analysis and develop your analytical skills.
- Qualifications: Degree in relevant field; SQL and SAS knowledge preferred, Python experience a plus.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
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 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 Team
You will join the Analytical & Scoring Model Review team within Credit Risk, a specialised team of four within the wider Credit Risk department (approximately 60 FTE). The team operates in a fast-paced, dynamic environment, managing multiple priorities. Our work spans various areas of Credit Risk, including peer reviews of predictive models, review of key analyses, strategic implementation reviews, and performance monitoring and controls across policy areas. In addition, we carry out ad hoc analysis into areas of particular interest.
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.
About The Role
The role will leverage your analytical expertise to support the review and validation of scoring models, data-driven strategies, and analytical processes. Reporting to the Analytical and Scoring Model Review Manager, your responsibilities will include:
Model Review and Validation:
Assess the build process, performance, and implementation of scoring models, ensuring they meet business needs and regulatory standards.
As a business, we are committed to advancing the development of machine learning models. In this role, you will play a key part in supporting this progress by reviewing and refining these models.
Data Analysis and Insights:
Assess data analysis techniques to evaluate credit policies, identify exceptions, and provide actionable insights.
Collaboration:
Work closely with policy teams to contribute to regular performance reviews and strategic initiatives.
You\’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload ensuring you\’re consistently adding value to both our customers and business.
You\’ll be surrounded by the best talent across Financial Services and the wider group – working collaboratively to fulfil the ambitions of the business and the Credit Risk Strategy Department.
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.
- Comfortable with SQL, SAS and knowledge of Microsoft Excel.
- Experience with Python would be advantageous but not essential
- Degree educated in a relevant field (e.g. Mathematics, Statistics, Data Science or similar) and/or practical experience in a similar role.
- Strong communication skills, with the ability to present complex findings to non-technical stakeholders.
- Experience of Credit Risk or Financial Services would be advantageous but not essential
- You\’re curious, analytical and logical by nature with a keen eye for detail.
- Confident, can-do attitude and general hunger to add value and develop
- You\’re a team player who can quickly establish relationships with our existing team and key stakeholders
- We\’re also interested in your softer skills – your confidence to challenge and ask the right questions
- There is very little hierarchy here and if you were to join us, you would be expected to have a voice and the confidence to use it.
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
- 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.
Credit Risk Analyst employer: The Very Group
Contact Detail:
The Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst
✨Tip Number 1
Get to know the company! Research The Very Group and understand our values and mission. This will help you tailor your responses during interviews and show that you're genuinely interested in being part of our team.
✨Tip Number 2
Practice your analytical skills! Brush up on SQL, SAS, and Excel, as these are key tools for a Credit Risk Analyst. Being able to demonstrate your technical prowess will definitely give you an edge in the interview.
✨Tip Number 3
Prepare to showcase your soft skills! We value communication and teamwork, so think of examples where you've successfully collaborated or presented complex information to non-technical stakeholders. This will highlight your fit within our inclusive culture.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by our talent acquisition team. Plus, it shows you're proactive and serious about joining us at The Very Group.
We think you need these skills to ace Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Risk Analyst role. Highlight your analytical skills, experience with SQL or SAS, and any relevant projects that showcase your ability to assess scoring models and data analysis techniques.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk and how your background aligns with our team's goals. Don't forget to mention your curiosity and can-do attitude!
Showcase Your Soft Skills: We love team players! In your application, highlight your communication skills and your ability to build relationships with stakeholders. Share examples of how you've challenged ideas or asked the right questions in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at The Very Group
✨Know Your Numbers
As a Credit Risk Analyst, you'll be dealing with data and models. Brush up on your SQL, SAS, and Excel skills before the interview. Be ready to discuss how you've used these tools in past roles or projects, as this will show your analytical prowess.
✨Showcase Your Communication Skills
You'll need to present complex findings to non-technical stakeholders, so practice explaining your previous analyses in simple terms. Think of examples where you successfully communicated insights and how they impacted decision-making.
✨Prepare for Technical Questions
Expect both competency and technical questions in the second stage of the interview. Review key concepts in credit risk, model validation, and data analysis techniques. If you have experience with machine learning models, be prepared to discuss that too!
✨Be Curious and Engaged
The Very Group values a can-do attitude and curiosity. During the interview, ask insightful questions about the team, their projects, and the company's approach to credit risk. This shows you're genuinely interested and ready to contribute.
