Credit Risk - DL/DM (Pd Model, Scorecards Validation)
Key Responsibilities:
- Validate models in accordance with client's model risk management policy to assess model usage, documentation, conceptual soundness, data integrity and the control environment.
- Communicate results via formal model validation reports, as well as presentations to model owners and senior management.
- Evaluate model performance monitoring reports, and conduct model annual reviews.
- Maintain the model inventory and support the model risk governance process.
- Perform ad hoc (generally statistical) analysis of back-tests or simulated performance information.
Desired Qualification:- Master's degree in mathematics, statistics, data science, finance or a relevant field.
- Experience in model development, model validation or model governance.
- Programming experience with demonstrated exposure to multiple languages such as Python, SAS, R, MATLAB, SQL, VBA, C++ or similar languages.
- Familiarity with vendor investment analytic applications: Aladdin, Axioma, Barra Portfolio Manager, Barra One, RiskMetrics, Yieldbook, Moody's Analytics, etc.
- Experience with vendor financial data vendors: Bloomberg, Refinitiv, CRSP, MSCI, Markit, S&P Capital IQ, etc.
- Solid understanding of financial predictive modeling, such as multi-factor risk models, time series forecasting, Value-At-Risk (VaR), optimization theory, and machine learning.
- Demonstrate strong understanding of capital markets and various asset classes: equities, fixed income, FX, and commodities.
Summary: The ideal candidate will have 4-7 years of experience in Credit Risk-Model Validation and Model Governance. (Scorecard model, PD models)