Looking for Risk Analytics professionals with extensive experience in the area of risk modelling/scorecard development for retail banking; requires 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 portfolios.
Responsibilities of the role include developing statistically derived predictive models, perform decision tree based customer segmentation & profiling analyses, assist business implementation of sophisticated scoring models and providing analytic support to Bank's businesses across the globe
Risk Modelling experience in any domain
Experience in BFSI domain is an added advantage
- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline form premier institutions
- Excellent understanding of retail banking / small business / consumer finance products and business life-cycles (e.g. sales, underwriting, portfolio management, marketing, collections...)
- 5-12 in-depth years experience in hands-on quantitative analysis & statistical modeling in credit risk for retail banking / small business / consumer finance portfolios