Job Description:
Extensive experience in areas of statistics, applied mathematics, SAS programming language applied in the area of risk scorecard / model development for retail banking / small business lending businesses.
The individual will use these skills in the development of risk / credit scoring models and other risk analytics in retail banking / small business lending portfolios with the support of a dedicated team of Team Leads and Analysts / Senior Analysts.
Responsibilities include understanding group requirements and working with the individual's team in developing statistically derived predictive models, performing decision tree based customer segmentation & profiling analyses, assisting business implementation of sophisticated scoring models and providing analytic support.
Qualifications:
- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline
- Excellent understanding of retail banking / small business / consumer finance products and business life-cycles (e.g. sales, underwriting, portfolio management, marketing, collections...)
- Significant experience in a similar role; experience in a retail banking / small business lending analytical function, in-depth years experience in hands-on quantitative analysis & statistical modeling.
- Very good statistical programming skills in SAS (preferred) or similar, analytical skills and understanding of quantitative and statistical analysis
- Hands-on experience in statistical modeling, mining data and understanding data patterns is an absolute necessary to support / mentor the individual's team
- Demonstrated proficiency in scorecard development is a must
- Experience in directly interacting with Business and exposure to International markets will be a plus.
Please share your resumes or reach out at 080-3928 1641.
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