This position shall be mainly responsible for the development, validation, monitoring and implementation of credit models and test programs focused on motorcycle financing and other products. This involves the utilization of traditional and alternative credit underwriting models, statistical tools and econometric methodologies within a sound credit risk management and modeling framework. The position requires the Credit Modeler to research, develop, and make recommended changes to existing models and new test programs/models while incorporating the risk appetite of the Management.
Responsibilities
- Develop, review and update CFFC's credit risk management framework and policies.
- Develop credit model and test programs including clear and in-depth model documentation outlining utilization of scoring models.
- Develop methodology and conceptual soundness of models, including but not limited to CECL, stress testing, Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) models etc., in accordance with the definitions of IFRS9.
- Complement new product launches with appropriate credit risk models and policies to augment CFFC's loan portfolios monitoring and origination activities for credit quality, trends, and key risks.
- Identifies portfolio segments that warrant further review and targeted analyses, such as migration and stress testing analyses.
- Helps on the development of stress test scenarios and risk mitigation strategies;
- Perform model runs and tests model performance and maintenance, and creation of associated reports.
- Develops, implements, explores the big data environment, and automates the predictive analytical models leveraging available data assets and statistical analysis tools.
- Ensures valid and updated credit parameters are set up on PACCS
- Works closely with credit operations in continuously enhancing the credit underwriting process to ensure efficiency in delivering credit decisions.
- Validates model input dataset and document data quality issues.
- Assist in producing various narratives and reports for BAU and risk management purposes as it relates to Credit.
- Develop loan loss provisioning model for CFFC;
- Performs other duties and responsibilities as may be assigned by an appropriate authority.
Qualifications
- Recognized Degree in Statistics, Finance, or related disciplines
- Preferably with master's degree in Data Science Management or Econometrics, Computer Science, Mathematics, or any related quantitative field.
- Must be able to effectively use statistical analysis packages (e.g., SAS, SPSS, Stata), databases, database management systems (e.g., SQL, ODBC) in support of complex analysis.
- Good verbal and written communication skills to convey technical information to any audience.
- Able to grasp developments in financial industry.
- Minimum 5 years of working experience in decision science, math, multivariate modeling, statistics, predictive analytics, big data analytics, data cleansing, preparation, and treatment of missing/inconsistent data elements. Exploratory data analysis to drive significant business impact
