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Fintech • Payments • Financial Services
The Senior Credit Risk Analyst will analyze credit risks, forecast expected credit losses, and optimize collections strategies using analytical insights from ECL modeling and predictive analytics. Responsibilities also include collaboration with various teams to improve recoveries and automate reporting processes.
Top Skills:
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Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
The role involves designing, developing, and maintaining full-stack applications focused on user retention and growth, collaborating with cross-functional teams, and optimizing systems to impact millions of users.
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Machine Learning • Natural Language Processing
Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.
Top Skills:
Digital Tools
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
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Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
