Quant Analyst – Credit Risk
Job Description:
Quant Analyst – Credit Risk
Role Summary:
The Credit Risk Quant Analysts will work on developing, validating, and enhancing models for credit
risk assessment in banking and financial services.
Key Responsibilities:
Validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD),
and Exposure at Default (EAD).
Develop and implement credit risk scoring models using advanced statistical techniques.
Ensure compliance with regulatory standards such as IFRS 9 and Basel III/IV IRB approaches.
Conduct benchmarking, backtesting, and stress testing of credit risk models.
Analyze loan portfolio performance and provide insights for risk mitigation.
Required Skills:
Strong expertise in 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.
Advanced degree in Quantitative Finance, Statistics, or Economics.
Understanding of loan portfolios and retail/commercial banking products.
Key Skills :
Company Profile
Is the American member firm of --- Thornton International, the seventh largest accounting network in the world by combined fee income.
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