Job Opportunities API

Internal use only - Grade F 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 Loss Forecasting & Portfolio Quality team within Credit Risk which is a team of 6 (Credit Risk department consists of c.60 FTE), working on multiple priorities within a fast paced, dynamic environment. Our team are responsible for aspects of bad debt including forecasting, loss provisioning, write offs, assessing portfolio quality, amongst much more. 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 As a Senior Credit Risk Analyst in the Loss Forecasting & Portfolio Quality team, you will leverage our data to generate insights into bad debt performance. Reporting to the Senior Credit Risk Manager (Loss Forecasting & Portfolio Quality), you will manage stakeholder expectations and prioritise your workload to ensure bad debt impacts are accurately reflected across Financial Services, enabling us to make informed decisions. You’ll work alongside top talent across Financial Services and the wider Group, collaborating to deliver the ambitions of the business and the Credit Risk function. 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 (e.g. Statistics, Mathematics, Economics, or a related discipline). Experience in loss forecasting, stress testing, scenario modelling or developing traditional statistical models (e.g. linear/logistic regression and decision trees). Proficiency in SAS, SQL and Excel for data extraction, manipulation and modelling. Experience within Credit Risk, financial services or banking. Understanding and/or experience of IFRS 9 accounting principles and modelling. A curious mindset with a passion for using data to solve complex problems. A collaborative team player who can quickly build relationships with colleagues and key 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 LinkedIn 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 pro