Job Summary

 This position is for an Analyst 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 risk / credit scoring models and other risk analytics in retail banking / small business lending portfolios. Responsibilities 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 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...)
•    0 to 2 years of 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

Key Responsibilities

Competencies: 
•    Analytical / Strategic / Conceptual thinking
•    Attention to detail
•    Problem solving
•    Verbal/Written communication
•    Presentation skills
•    Highly motivated, organized and methodical

Qualifications

Modelling    
SAS    
Communication