The Credit Risk Analyst will develop and monitor credit risk models, conduct portfolio analytics, and optimize lending strategies while ensuring regulatory compliance.
We are seeking a skilled Retail Credit Risk Analyst with 3+ years of experience in the UK credit markets, specifically within personal loans for debt consolidation. The successful candidate will play a critical role in assessing, monitoring, and optimising credit risk strategies to ensure a balanced approach between risk management and business growth.
Key Responsibilities:
- Develop, implement, and monitor credit risk models and decision frameworks for personal loan portfolios.
- Conduct portfolio analytics to assess risk trends, customer behavior, and loan performance.
- Analyze credit data, customer profiles, and market trends to enhance underwriting criteria.
- Work closely with stakeholders to optimize credit policies and improve lending strategies.
- Utilize statistical and machine learning techniques to support data-driven risk assessment methodologies.
- Monitor key performance indicators (KPIs) related to loan approvals, delinquencies, and charge-offs.
- Ensure compliance with UK regulatory requirements, including FCA guidelines and GDPR.
- Support stress testing, scenario analysis, and loss forecasting.
Required Skills & Experience:
- 3+ years of experience in a credit risk role, preferably within personal loans and debt consolidation in the UK.
- Strong understanding of credit scoring models, risk analytics, and lending strategies.
- Relevant experience in working on UK credit bureau data and leveraging it for credit risk analysis.
- Experience or familiarity with end-to-end life cycle of a retail loan portfolio.
- Proficiency in SQL, Python, SAS, or R for data analysis and risk modeling.
- Experience working with decision engines and credit risk platforms.
- Knowledge of UK credit regulations, including FCA and PRA requirements.
- Strong analytical skills with the ability to translate data insights into business decisions.
- Excellent communication and stakeholder management abilities.
Preferred Qualifications:
- Experience in alternative data usage for credit risk evaluation.
- Exposure to machine learning techniques in credit risk modeling.
- Familiarity with Open Banking and fintech lending platforms.
- Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Economics, or a related field.
- Pension Plan
- Paid Time Off
- Work From Home
- Training & Development
Top Skills
Python
R
SAS
SQL
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