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Senior Credit Risk Analyst

Harnham - Data & Analytics Recruitment


Credit Risk Strategy Analyst


Sponsorship Available


Salary
£60,000-£75,000 plus bonus


Location + work pattern
London (hybrid working, 2-3 days per week in the office)


THE COMPANY
  • A well-established UK consumer finance business operating across multiple lending and savings products.
  • Known for strong technical infrastructure, advanced analytics and a transparent, customer-focused approach.
  • Long track record of developing high-performing credit risk professionals within the UK market.

THE ROLE

This is a core credit risk and commercial strategy role, taking ownership of a specific product area within a wider credit risk function. You will work closely with senior stakeholders to drive data-led decisions across the customer lifecycle.

Specifically, you can expect to be involved in:

  • Owning and developing credit risk strategy for a defined lending product.
  • Using SQL and Python to analyse performance, identify trends and recommend actions.
  • Supporting commercial decision-making through robust, insight-driven analysis.
  • Communicating findings clearly to both technical and non-technical stakeholders.
YOUR SKILLS AND EXPERIENCE
  • Proven experience within credit risk strategy in a consumer lending environment.
  • STEM degree from a Russel Group University is important
  • Strong capability in SQL for data extraction and analysis.
  • Working knowledge of Python for analytical and modelling tasks.
  • Ability to structure problems clearly and communicate your approach and conclusions effectively.

THE BENEFITS

  • Competitive base salary with performance-related bonus.
  • Hybrid working model with flexibility across the week.
  • Opportunity to work alongside experienced credit risk leaders and analysts.
  • Strong platform for long-term career development within UK lending and risk.
THE PROCESS
  • Initial case-study interview assessing quantitative, conceptual and communication skills.
  • Technical assessment focused on SQL or Python, completed remotely.
  • Final in-person stage including a credit case study, values discussion and Q&A.


HOW TO APPLY

Please register your interest via the apply link on this page.