Quantitative Credit Analyst
1 month ago
Key Responsibilities:
- Develop and implement credit risk models to measure Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) across various portfolios.
- Design quantitative tools for stress testing and scenario analysis on the credit portfolio, ensuring accurate risk assessment.
- Lead efforts in automation of credit risk measurement and reporting processes using programming tools like Python, SQL, and Visual Basic.
- Perform credit risk analysis on large, complex transactions, providing insights into risk exposure and mitigation strategies.
- Engage with internal stakeholders to develop and maintain risk policies, ensuring compliance with regulatory standards and internal governance.
- Monitor credit risk metrics, identify potential portfolio risks, and escalate issues to senior management when necessary.
- Validate and review the performance of existing credit risk models, ensuring they comply with best practices and regulatory guidelines.
Requirements:
- PhD, Masters, or Honours Degree in a quantitative discipline (Finance, Mathematics, Statistics, etc.).
- 510 years of experience in credit risk modeling and quantitative finance.
- Proficiency in financial mathematics, credit risk analysis, and programming (Python, SQL, Visual Basic).
- Strong understanding of credit portfolio management, credit risk metrics, and regulatory frameworks (e.g., Basel III).
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