
Senior Credit Risk Analyst
1 day ago
Credit Risk Modeling Expert
The ideal candidate will work on developing, validating, and enhancing models for credit risk assessment in banking and financial services. They will leverage advanced statistical techniques to create accurate models that help mitigate potential risks.
Key Responsibilities:
- Validate credit risk models using Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).
- Develop and implement credit risk scoring models using Python, R, or SAS.
- Ensure compliance with regulatory standards such as IFRS 9 and Basel III/IV IRB approaches.
- Conduct benchmarking, back testing, and stress testing of credit risk models.
- Analyze loan portfolio performance and provide actionable insights for risk mitigation.
- Required Skills and Qualifications:
- Advanced knowledge of credit risk modeling techniques and statistical methods.
- Proficiency in programming languages like Python, R, or SAS.
- Knowledge of Basel III/IV credit risk regulations and IFRS 9 standards.
- Master's degree in Quantitative Finance, Statistics, or Economics.
- Familiarity with loan portfolios and retail/commercial banking products.
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