Manager - Retail Modeling/Analytics - BFS

This position is for a Manager with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of IRB, IFRS9, Stress Testing, Credit Scoring and other risk models for Retail / Small Business. In addition, the individual might be required to support other risk analytics related to Retail / Small business.

Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of sophisticated regulatory and scoring models and providing analytic support to Standard Chartered businesses across the globe.

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 etc)

- 6-9 in-depth years' experience in hands-on Statistical Modeling in credit risk 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

- Experience in directly interacting with Business and exposure to International markets will be a plus