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- Tasks: Design and monitor predictive models to enhance credit decisions and customer outcomes.
- Company: Join The Very Group, a leader in flexible payment options for families.
- Benefits: Enjoy hybrid working, 27 days holiday, and a £250 benefits allowance.
- Why this job: Make a real impact on lending decisions for over 3 million customers while growing your career.
- Qualifications: Recent graduates in Mathematics, Statistics, or Data Science are encouraged to apply.
- Other info: Inclusive culture with tailored development plans and opportunities for advancement.
The predicted salary is between 28800 - 43200 £ 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 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 on our customers.
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.
Some of our benefits
- Flexible, hybrid working model.
- Inclusive culture and environment.
- £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%.
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 Modelling 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 Modelling Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk modelling and machine learning techniques. This will not only help you understand the role better but also allow you to engage in meaningful conversations during your interviews.
✨Tip Number 2
Network with professionals in the credit risk and analytics field. Attend relevant webinars or local meetups to connect with industry experts, which can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your problem-solving approach using data. Think of specific examples where you've used quantitative methods to tackle challenges, as this will demonstrate your analytical skills effectively.
✨Tip Number 4
Practice explaining complex statistical concepts in simple terms. Since the role requires communication with both technical and non-technical stakeholders, being able to convey your ideas clearly will set you apart.
We think you need these skills to ace Credit Risk Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the role of a Credit Risk Modelling Analyst. Emphasise your quantitative background, any experience with predictive modelling, and your coding skills in SQL or Python.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data and problem-solving. Mention specific projects or experiences that demonstrate your analytical skills and how they relate to the responsibilities outlined in the job description.
Highlight Relevant Projects: If you have worked on any projects involving statistical models or machine learning, be sure to include these in your application. Describe your role, the techniques used, and the outcomes achieved to show your practical experience.
Prepare for Interviews: Familiarise yourself with common interview questions for data roles, especially those related to credit risk and modelling techniques. Be ready to discuss your thought process and approach to problem-solving, as well as any technical skills you possess.
How to prepare for a job interview at The Very Group
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Credit Risk Modelling Analyst. Familiarise yourself with predictive modelling techniques and how they apply to credit risk. This will help you answer questions confidently and demonstrate your enthusiasm for the role.
✨Brush Up on Technical Skills
Since the role involves coding in SQL and Python, it’s beneficial to review these languages before your interview. Be prepared to discuss any relevant projects or experiences where you've used these skills, as well as your understanding of statistical models like logistic regression.
✨Prepare for Competency Questions
Expect competency-based questions that assess your problem-solving abilities and teamwork skills. Think of examples from your academic or work experience that showcase your analytical thinking and how you’ve collaborated with others to achieve results.
✨Ask Insightful Questions
During the informal video call, take the opportunity to ask questions about the team dynamics, the types of projects you'll be working on, and the company culture. This shows your genuine interest in the position and helps you determine if it's the right fit for you.
