Job Description

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.

Requirements

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.

Benefits

Pension Plan Paid Time Off Work From Home * Training & Development