Model Monitoring & Governance x 3 [immediate requirement and joiners]: Model Monitoring, Regulatory Guidelines, PRA, Basel, IFRS 9, SS 1/23, Backtesting, Sensitivity Analysis, Data Analysis, Python
– Develop and implement monitoring frameworks for Basel and Decision credit risk models, including PD, LGD, and EAD models
– Expertise in regulatory guidelines from the PRA, HKMA e.g., Basel 3.1, CCAR, IFRS9, SS 1/23, and relevant regulatory standards
– Perform periodic backtesting, sensitivity analysis, and benchmarking to assess model performance
– Analyze model outputs and identify trends, discrepancies, and areas for improvement
– Extract, process, and validate large datasets to ensure data quality and consistency for model monitoring
– Collaborate with IT and data engineering teams to enhance data pipelines and model monitoring infrastructure
– Utilize statistical and machine learning techniques to evaluate model stability and performance over time
– Generate insightful reports and advanced visualizations using Qliksense/Google Looker to communicate findings to stakeholders
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