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Lead Credit Risk Analyst

Job Description - Lead Credit Risk Analyst

Description

 


The Role


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.


We are looking for an experienced professional to join us as a Lead Credit Risk Analyst. In this role, you will be at the heart of designing, testing, and implementing strategy changes that drive sustainable business growth.


 


What You Will Take On


In this role, you will take on complex business challenges and lead the development of credit strategies:




  • 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

Credit risk experience is essential for this position. We are looking for an analytical professional who can get under the skin of data to solve complex problems:


 




  • 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 is on offer


 


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