At a Glance
- Tasks: Lead credit risk strategies and analyse data to optimise growth and minimise risk.
- Company: NEXT, a leading retailer with a dynamic and evolving brand.
- Benefits: 25% off products, performance bonuses, hybrid working, and fantastic discounts.
- Other info: Join a supportive culture with excellent career development opportunities.
- Why this job: Make a real impact in a fast-paced environment while collaborating with diverse teams.
- Qualifications: Experience in credit risk analysis and strong analytical skills, especially in SQL.
The predicted salary is between 60000 - 80000 € per year.
At NEXT, our brand is evolving and expanding on an immense scale. As a leading retailer, over 40% of our online customers shop using our own branded credit accounts. The Credit & Risk team manages this lending activity, which supports 3 million customers with £1.3B in outstandings. We use data-driven insights to optimise our customer proposition and business profit.
What You Will Take On
- Lead Strategy Programmes: Own the day-to-day running of our Credit Limit management strategy programme to successfully optimise risk and growth.
- Drive Complex Analysis: Identify risks and opportunities in current processes by analysing multiple data sources and designing randomised control trials.
- Collaborate Across Business Functions: Serve as the subject matter expert on credit risk, working with multi-disciplinary teams to deliver commercial value while maintaining regulatory standards.
- Deliver Structured Recommendations: Build and present clear, data-backed insights to stakeholders to gain buy-in and implement meaningful change.
What You Will Bring
- Professional Experience: A proven background in a credit risk analytical role, specifically within consumer lending or financial services (such as banking or retail credit risk).
- Strategic Expertise: Solid experience building or influencing credit lending strategies. Familiarity with NPV modelling is highly advantageous.
- Technical Skills: Strong analytical capabilities with a track record of coding in SQL. Experience or familiarity with Databricks, Python, and PowerBI is beneficial.
- Communication: Exceptional verbal and written communication skills, with the ability to translate complex data into clear strategic recommendations.
- Mindset: A collaborative professional who thrives in a fast-paced environment and is motivated to build on success, learn from challenges, and push boundaries.
Hybrid Working
Hybrid working is on offer.
Benefits
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (when purchased through NEXT)
- Company performance‑based bonus
- Sharesave scheme
- On‑site nursery available; OFSTED outstanding in all areas
- 10% off most partner brands & up to 15% off Branded Beauty
- Early VIP access to sale stock
- Access to fantastic discounts at our Staff Shops
- Restaurants with great food at amazing prices
- Access a digital GP and other free health and wellbeing services
- Free on‑site parking
- Financial Wellbeing – save, track and enhance your financial wellbeing
- Apprenticeship – grow and develop on the job whilst gaining a qualification
- Direct to Work – discount online and in‑store, collect your items the next day for free from your place of work or local store
- Support Networks – access to network groups to empower and celebrate each other
- Wellhub – discounted flexible monthly gym memberships, with apps, PT sessions and more
Lead Credit Risk Analyst employer: Next Careers
At NEXT, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our Lead Credit Risk Analyst role not only provides competitive benefits such as a performance-based bonus and generous discounts but also supports professional growth through access to training and development opportunities. With a commitment to employee wellbeing and a hybrid working model, NEXT is the perfect place for those looking to make a meaningful impact in a thriving retail environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Credit Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at NEXT or in the credit risk field on LinkedIn. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data analysis skills. Be ready to discuss how you've used these in past roles, especially in credit risk scenarios.
✨Tip Number 3
Show off your strategic thinking! Think of examples where you've influenced lending strategies or optimised processes. Bring those stories to life during your interview.
✨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 serious about joining the NEXT team.
We think you need these skills to ace Lead Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Credit Risk Analyst role. Highlight your experience in credit risk analysis and any relevant technical skills like SQL or Python. 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 explain why you're passionate about credit risk and how you can contribute to our team. Keep it concise but impactful, and don’t forget to mention your strategic expertise.
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical capabilities. Mention specific projects where you've used data to drive decisions or optimise processes. We love seeing real examples of how you've made an impact!
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s straightforward and ensures your application gets to us directly. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Next Careers
✨Know Your Numbers
As a Lead Credit Risk Analyst, you'll be expected to handle complex data. Brush up on your analytical skills and be ready to discuss specific metrics or case studies from your past experience. Show how you've used data-driven insights to optimise strategies in previous roles.
✨Master the Art of Communication
You’ll need to translate complex data into clear recommendations. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will demonstrate your ability to communicate effectively with stakeholders across different business functions.
✨Show Your Strategic Thinking
Prepare to discuss how you've influenced credit lending strategies in the past. Think about examples where you identified risks and opportunities, and be ready to share your thought process on how you approached these challenges.
✨Familiarise Yourself with Tools
Since technical skills are crucial for this role, make sure you're comfortable discussing SQL, Databricks, Python, and PowerBI. If you have any recent projects or experiences using these tools, be prepared to highlight them during the interview.
