The Very Group
We’re the people behind Very, one of the largest digital retailers in the UK and Ireland. Our purpose is simple. We help families get more out of life. In fact, we believe that everyone deserves to get more out of life. Our customers, our own talented teammates, and the communities we work with. That’s why careers at Very are more than a job. We’re a place where brilliant people belong, grow, and are inspired and empowered to make a difference. Heaps of flexibility, great reward and benefits, and an inclusive culture where diversity is celebrated are just some of the things you can look forward to as part of the Very team. We’ve got big plans for the future. But we’ll always be led by our values – proud, trusted, together, innovative and ambitious. They keep us aligned and at our best. If you’re ready for a career that’s Very flexible and Very rewarding, you’ve come to the right place.
Open roles at The Very Group
2 roles
Credit Risk Modelling Analyst
The Very Group
Liverpool, UK
Very is hiring a Credit Risk Modelling Analyst to develop and monitor predictive machine learning models that improve lending, fraud detection, and customer risk decisions across its financial services business.About usWe’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 roleOur 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 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 youTalented 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 ResponsibilitiesDevelop 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 valueResearch 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 customersCareer Development: Tailored development plans will allow you to develop into a senior analyst with further opportunities to move into a managerial or lead analyst roleCulture: Collaborative, inclusive, and flexible work environmentSome of our benefitsFlexible, hybrid working modelInclusive culture and environment£250 flexible benefits allowance to suit your needs27 days holiday + bank holidaysUdemy learning accessBonus potential (performance and business-related)Up to 25% discount on Very.co.ukMatched pension up to 6%
Posted 24 days ago
FS Commercial Pricing Analytics Graduate
The Very Group
Liverpool, UK
Very is hiring an FS Commercial Pricing Analytics Graduate to use data analysis, experimentation, and modelling to support pricing strategies, profitability, and decision-making within its financial services business.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 role.Join us as an FS Commercial Pricing Analytics Graduate and play a key part in shaping data-driven decisions within our Financial Services business. You’ll collaborate with talented teams, contribute to business improvements, and gain hands-on experience in analytics, modelling, and stakeholder engagement. This role is designed to nurture future analytics leaders, giving you the tools and support to grow your career with confidence.What you'll be doing:Support pricing strategy for Very Financial Services products at customer acquisition stage and through the customer lifecycle including promotional pricingChampion data-driven decision making, helping the Very FS business unlock new opportunities.Design, implement, and analyse tests that drive positive change, working closely with Commercial, Product, and Credit Risk teams.Build and share reporting for key business KPIs, presenting insights to stakeholders across the organisation.Support model development and strategy optimisation for pricing and targeting.Size up future opportunities by developing data-driven business cases with our Finance teams.Participate in the design and analysis of A/B tests and experimentation frameworks.Communicate findings and recommendations clearly to both technical and non-technical audiences.Help develop automated dashboards and reporting tools for profit assumption tracking.Contribute to the development and enhancement of unit profit models.Present findings and recommendations that empower stakeholders to make informed decisions.About you.EssentialYou hold a degree in Maths, Physics, Engineering, Economics, or a related field.You’re a creative problem solver, able to turn commercial challenges into analytical solutions.You bring fresh ideas and innovative thinking to the table.Your communication skills shine—you make complex analysis accessible to everyone.You build strong relationships with colleagues and partners, valuing every perspective.You’re curious, eager to learn, and always looking for ways to improve.DesirableCourses in data analytics or data science are a plus. Other sciences may also be suitable.Coding experience (SQL, Python) is beneficial, especially with analytical packages like NumPy, Pandas, or Scikit-Learn.Some of our benefits.Flexible, hybrid working model£250 flexible benefits allowance to suit your needs27 days holiday + bank holidaysLinkedIn Learning accessBonus potential (performance and business-related)Up to 25% discount on Very.co.ukMatched pension up to 6%Development and Learning.Your growth matters to us. You’ll benefit from on-the-job learning, regular feedback, and mentoring from experienced analytics professionals. We offer training in SQL, Python, and analytical tools as part of your onboarding and ongoing development.
Posted 24 days ago
Credit Risk Modelling Analyst
The Very Group
Liverpool, UK
Very is hiring a Credit Risk Modelling Analyst to develop and monitor predictive machine learning models that improve lending, fraud detection, and customer risk decisions across its financial services business.About usWe’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 roleOur 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 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 youTalented 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 ResponsibilitiesDevelop 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 valueResearch 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 customersCareer Development: Tailored development plans will allow you to develop into a senior analyst with further opportunities to move into a managerial or lead analyst roleCulture: Collaborative, inclusive, and flexible work environmentSome of our benefitsFlexible, hybrid working modelInclusive culture and environment£250 flexible benefits allowance to suit your needs27 days holiday + bank holidaysUdemy learning accessBonus potential (performance and business-related)Up to 25% discount on Very.co.ukMatched pension up to 6%
Posted 24 days ago
FS Commercial Pricing Analytics Graduate
The Very Group
Liverpool, UK
Very is hiring an FS Commercial Pricing Analytics Graduate to use data analysis, experimentation, and modelling to support pricing strategies, profitability, and decision-making within its financial services business.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 role.Join us as an FS Commercial Pricing Analytics Graduate and play a key part in shaping data-driven decisions within our Financial Services business. You’ll collaborate with talented teams, contribute to business improvements, and gain hands-on experience in analytics, modelling, and stakeholder engagement. This role is designed to nurture future analytics leaders, giving you the tools and support to grow your career with confidence.What you'll be doing:Support pricing strategy for Very Financial Services products at customer acquisition stage and through the customer lifecycle including promotional pricingChampion data-driven decision making, helping the Very FS business unlock new opportunities.Design, implement, and analyse tests that drive positive change, working closely with Commercial, Product, and Credit Risk teams.Build and share reporting for key business KPIs, presenting insights to stakeholders across the organisation.Support model development and strategy optimisation for pricing and targeting.Size up future opportunities by developing data-driven business cases with our Finance teams.Participate in the design and analysis of A/B tests and experimentation frameworks.Communicate findings and recommendations clearly to both technical and non-technical audiences.Help develop automated dashboards and reporting tools for profit assumption tracking.Contribute to the development and enhancement of unit profit models.Present findings and recommendations that empower stakeholders to make informed decisions.About you.EssentialYou hold a degree in Maths, Physics, Engineering, Economics, or a related field.You’re a creative problem solver, able to turn commercial challenges into analytical solutions.You bring fresh ideas and innovative thinking to the table.Your communication skills shine—you make complex analysis accessible to everyone.You build strong relationships with colleagues and partners, valuing every perspective.You’re curious, eager to learn, and always looking for ways to improve.DesirableCourses in data analytics or data science are a plus. Other sciences may also be suitable.Coding experience (SQL, Python) is beneficial, especially with analytical packages like NumPy, Pandas, or Scikit-Learn.Some of our benefits.Flexible, hybrid working model£250 flexible benefits allowance to suit your needs27 days holiday + bank holidaysLinkedIn Learning accessBonus potential (performance and business-related)Up to 25% discount on Very.co.ukMatched pension up to 6%Development and Learning.Your growth matters to us. You’ll benefit from on-the-job learning, regular feedback, and mentoring from experienced analytics professionals. We offer training in SQL, Python, and analytical tools as part of your onboarding and ongoing development.
Posted 24 days ago
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