Credit Quantitative Analyst III

The incumbent will work closely with both the internal business groups and external vendors to apply statistical modeling, and data mining to develop scorecard solutions that help drive the front-end customer acquisition - develop acquisition strategies by using both the internal scorecard and vendor score to optimize new customer acquisition strategies. The incumbent is required to interact with both the external vendors and internal business partners including Credit Operation, Marketing, IT, Finance, and Card Services.

ACCOUNTABILITIES

RELATIONSHIP/PARTNERSHIP MANAGEMENT

* Support manager in managing the relationship with external vendors on major project milestones

* Provide recommendations to internal business partners on measurements and quantifications of risk metrics

* Act as subject matter expert in statistical area to help define business objectives and develop solutions, including audit etc.

* Act as subject matter expert in supporting manager to mentor junior level analysts

SCORECARD MODEL DEVELOPMENT AND FORECASTING

* Generate business insights by leveraging mathematical trend plots and present the findings to management

* Research and develop new methodologies for model development using appropriate statistical procedures to generate the relationship between the outcome variable and a set of explanatory attributes that make both technical and business sense

* Provide direction to lower level analysts on major analytic initiatives

* Provide recommendations and technical support to manager on major modeling project initiatives

QUALIFICATIONS

REQUIRED

* BS Degree in Statistics, Mathematics, Economics, Finance or Computer Science, etc.

* At least 5 years of experience using SAS in analyzing large data set in consumer credit industry

* Strong knowledge in Statistical Analysis and Modeling, and Econometric Forecasting in consumer credit industry

* Strong ability in presenting business findings to both the technical and non-technical audiences

* Strong ability to research and leverage all data sources to address problems related to all facets of risk management and ability to mentor junior level analysts

PREFERRED

* Advanced degree in Statistics, Mathematics, Economics, Finance, or Computer Science, etc.

* More than 7 years of experience using SAS in analyzing large data set in consumer credit industry

* Superior knowledge in Statistical Analysis and Modeling, and Econometric Forecasting in consumer credit industry

* Superior in presenting business findings to both the techincal and non-technical audiences

* Relentless pursuit of all statistical approaches to address problems related to all facets of risk management as evidence by white papers on major journals

SPECIAL REQUIREMENTS

* SAS Advance Certification

* Very limited business traveling