We're looking for a highly analytical Credit Risk Analyst for a IT big 4 company. The ideal candidate will be instrumental in developing, implementing, and monitoring our credit risk models and strategies. This role requires strong technical skills and a solid understanding of statistical and modeling techniques within a credit risk context.

Key Responsibilities :

1) Develop and Validate Risk Models : Design, build, and validate various credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models, utilizing Advanced SAS and Python.

2) Data Management and Analysis : Extract, clean, and manipulate large, complex datasets using SQL to support model development, portfolio analysis, and risk reporting.

3) Strategy Implementation : Translate model results and analytical insights into actionable credit policies and risk management strategies.

4) Reporting and Monitoring : Create and maintain robust reporting infrastructure to monitor model performance, key risk indicators, and portfolio trends.

5) Documentation and Governance : Prepare comprehensive documentation for models and analyses, ensuring compliance with internal standards and regulatory requirements.

Technical Proficiency :

1) Advanced proficiency in SAS (e.g., Base SAS, SAS/STAT, SAS Macro) for statistical analysis and data manipulation.

2) Strong expertise in SQL for querying and managing data.

3) Proficiency in Python (e.g., pandas, scikit-learn) for model development and advanced analytics.