Principal Credit Risk Analyst

We are seeking a talented Principal Credit Risk Analyst to join our growing Credit Risk Analytics team. This role requires 6‑10 years of experience in the lending industry and focuses on credit risk assessment and modelling within the banking sector.

As a Principal Credit Risk Analyst you will develop, daily manage, and enhance our credit risk analytics capabilities. You will work on affordability strategy (including Open Banking and alternative data), underwriting scorecards, pricing models, low and grow strategies, pre‑collection strategies, and the launch of new credit products. The role is based in the UK but offers exposure to pan‑European credit risk analytics across Germany, Austria, Norway, Spain, Italy, and other markets.

• Data Analysis & Insights:
  Own end‑to‑end strategies for specific population segments, collecting, analysing, and interpreting data from internal systems, Open Banking, and Credit Reference Agencies to inform policy, limit and pricing strategies.
• Model Development:
  Develop and maintain statistical models, including scorecards, ML models and other credit risk assessment tools.
• Stakeholder
  
  Collaboration:
  
  Provide clear, actionable insights and recommendations to stakeholders across the business to support informed decision‑making and business growth.
• Cross‑functional Teamwork:
  Work collaboratively with the decision sciences and analytics team and other departments across locations.
• Communication & Reporting:
  Present complex analytical findings to technical and non‑technical audiences through clear presentations, reports, and data visualisations.
• Mentoring:
  Mentor and supervise junior analysts on model and strategy development projects and Python model pipeline development.

• Bachelor degree in a quantitative discipline (Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, etc.).
• 6‑10 years of experience in analytics, data analysis or lending/credit assessment within financial services.
• Previous experience working for an unsecured lender, preferably on credit card products.

• Strong analytical and problem‑solving abilities with excellent attention to detail.
• Proficiency in SQL for data extraction, manipulation and analysis.
• Strong programming experience in Python (ideally for model development).
• Understanding of statistical analysis techniques and data modelling methodologies.
• Experience in predictive modelling (logistic regression and GBM knowledge at minimum).
• Understanding of machine learning techniques applied to credit risk.

• Excellent written and verbal communication skills in English.
• Ability to translate complex data into clear, actionable business insights.
• Strong presentation skills with experience communicating to diverse audiences.
• Proven ability to work effectively in fast‑paced environments whilst managing multiple priorities.
• Team player.

• Postgraduate qualification in a relevant quantitative field.
• Knowledge of credit risk regulations and best practices in the UK market.
• Experience with data visualisation tools.
• Experience of full credit card customer journey (from origination to recoveries).
• Experience with model pipeline maintenance and monitoring.
• Experience in analytics/DS project management.

• Competitive salary and benefits package.
• Opportunity to work with advanced analytics and statistical modelling techniques.
• Professional development and training opportunities.
• Collaborative, inclusive working environment.
• Flexible working arrangements.
• Career progression opportunities within our growing analytics function.

We are unable to provide visa sponsorship for this role. Candidates must have the right to work in the UK without requiring sponsorship.

We are committed to creating an inclusive workplace that reflects the diversity of the communities we serve. We welcome applications from all qualified candidates regardless of age, disability, gender identity, race, religion, sexual orientation, or background.