AI Default Prediction Specialist vs AI Digital Banking Product Specialist

A AI Default Prediction Specialist Only

• Credit risk modeling fundamentals (PD, LGD, EAD frameworks)
• Gradient-boosted tree methods (XGBoost, LightGBM, CatBoost) for tabular finance data
• Deep learning for sequential and multi-modal financial data (LSTMs, Transformers)
• Feature engineering from financial statements, alternative data, and macroeconomic time series
• Model interpretability and explainability (SHAP, LIME, monotonic constraints) for regulatory compliance
• MLOps for model lifecycle management (versioning, monitoring, drift detection, CI/CD)
• SQL and data warehousing for large-scale loan-level and portfolio datasets
• Statistical validation techniques (backtesting, out-of-time testing, population stability index)