Senior Credit Risk Analyst - Loss Forecasting in Liverpool

Senior Credit Risk Analyst - Loss Forecasting in Liverpool

Liverpool Full-Time 50000 - 60000 € / year (est.) Home office (partial)
The Very Group

At a Glance

  • Tasks: Analyse data to forecast bad debt and improve portfolio quality.
  • Company: Join the dynamic team at Very, a leading digital retailer.
  • Benefits: Enjoy flexible working, 30 days holiday, and a £1000 benefits allowance.
  • Other info: Inclusive culture with excellent career growth and learning opportunities.
  • Why this job: Make a real impact on financial decisions and customer experiences.
  • Qualifications: Degree in a quantitative field and experience in credit risk analysis.

The predicted salary is between 50000 - 60000 € per year.

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
Udemy 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 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.

Diversity, inclusion and equal opportunities
We’re building a culture of everyday inclusion, and welcome applications from anyone who believes they can do the job. We don’t discriminate based on age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. We want our recruitment process to be accessible to everyone. If you need reasonable adjustments to apply, interview, or perform a role, let us know via talentacquisition@theverygroup.com. We’ll be happy to support you.

We’re proud to be a Disability Confident Committed Employer and have nine brilliant colleague networks - including DAWN (Disability Awareness at Very) and Think (Neurodiversity at Very) - that are helping us make Very an even more inclusive place to work.

Senior Credit Risk Analyst - Loss Forecasting in Liverpool employer: The Very Group

At Very, we prioritise our employees' well-being and growth, offering a flexible hybrid working model and a vibrant, inclusive culture that encourages collaboration and innovation. With generous benefits such as a £1000 flexible allowance, 30 days of holiday, and access to continuous learning through Udemy, we empower our team members to thrive both personally and professionally in a dynamic environment. Join us in making a meaningful impact for millions of customers while enjoying the freedom to shape your career path.

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 - Loss Forecasting in Liverpool

Tip Number 1

Get to know the company! Research Very and its values. When you understand what makes us tick, you can tailor your conversations to show how you fit right in. Plus, it’ll help you ask insightful questions during interviews.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral. We love seeing familiar faces!

Tip Number 3

Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with loss forecasting and data analysis. Practising common interview questions can help you feel more confident when it’s your turn to shine.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Very.

We think you need these skills to ace Senior Credit Risk Analyst - Loss Forecasting in Liverpool

Loss Forecasting
Stress Testing
Scenario Modelling
Statistical Modelling
SAS
SQL
Excel

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Credit Risk Analyst role. Highlight your experience in loss forecasting and any relevant skills in SAS, SQL, and Excel. We want to see how your background aligns with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about credit risk and how your curious mindset can help solve complex problems. Don’t forget to mention your collaborative spirit!

Showcase Your Data Skills:Since this role involves leveraging data, make sure to showcase your analytical skills. Mention specific projects or experiences where you’ve used data to drive insights or decisions. We love seeing how you think!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at The Very Group

Know Your Numbers

As a Senior Credit Risk Analyst, you'll be dealing with data all the time. Brush up on your knowledge of loss forecasting, stress testing, and statistical models. Be ready to discuss how you've used these in past roles, and maybe even prepare a few examples of how you tackled complex problems using data.

Master the Tools

Make sure you're comfortable with SAS, SQL, and Excel. These are crucial for the role. Before the interview, practice some common tasks you might face, like data extraction or manipulation. You could even create a small project to showcase your skills during the interview!

Understand IFRS 9

Since understanding IFRS 9 accounting principles is part of the job, take some time to brush up on this topic. Be prepared to discuss how it impacts loss forecasting and portfolio quality. Showing that you have a solid grasp of these principles will definitely impress the interviewers.

Show Your Collaborative Spirit

This role requires working closely with various stakeholders. Think of examples where you've successfully collaborated with others in your previous jobs. Highlight your ability to build relationships and communicate effectively, as this will show that you're a team player who can thrive in their dynamic environment.