
Credit Risk Analyst
- London
- Permanent
- Full-time
- Data Analysis & Insights: Collect, analyse, and interpret data from multiple sources including internal systems and Credit Reference Agencies (CRAs) to identify trends, patterns, and opportunities that inform credit policy, Credit limit and pricing strategies
- Model Development: Contribute to developing and maintaining statistical models, including scorecards and other credit risk assessment tools
- Stakeholder Collaboration: Provide clear, actionable insights and recommendations to stakeholders across the business, supporting informed decision-making and business growth
- Cross-functional Teamwork: Work collaboratively with colleagues in the decision sciences and analytics team, as well as other departments across different locations
- Communication & Reporting: Present complex analytical findings to both technical and non-technical audiences through clear presentations, reports, and data visualisations
- Bachelor's degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, or related quantitative discipline from a well-regarded university
- 1-2 years of experience in analytics, data analysis, or lending/credit assessment within the financial services sector
- Previous experience working for an unsecured lender (bank, building society, fintech, or similar credit provider)
- Strong analytical and problem-solving abilities with excellent attention to detail
- Proficiency in SQL for data extraction, manipulation, and analysis
- Understanding of statistical analysis techniques and data modelling methodologies
- Experience or strong interest in predictive modelling (logistic regression knowledge would be advantageous)
- 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
- Postgraduate qualification in a relevant quantitative field
- Programming experience in Python or R
- Knowledge of credit risk regulations and best practices in the UK market
- Experience with data visualisation tools
- Understanding of machine learning techniques applied to credit risk
- 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