Looking for professionals with 1 to 5 years of experience in Credit Risk Modeling with hands on experience in SAS.
Responsibilities :
- Requires experience in retail banking / small business lending businesses, development of risk / credit scoring models and other risk analytics in retail banking / small business lending portfolios.
- Developing statistically derived predictive models, perform decision tree based customer segmentation & profiling analyses, assist business implementation of sophisticated scoring models.
Qualifications :
- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline.
- Good understanding of retail banking / small business / consumer finance products and business life-cycles (e.g. sales, underwriting, portfolio management, marketing, collections...)
- Experience in quantitative analysis & statistical modeling in credit risk / marketing /portfolio strategy for retail banking / small business / consumer finance portfolios
- Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis
- Hands-on experience in mining data and understanding data patterns
- Demonstrated proficiency in scorecard development is a plus
- Experience in directly interacting with Business and exposure to International markets will be a plus
Didn’t find the job appropriate? Report this Job