Job Description:
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...)
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.
- Significant experience in a similar role; at least 10 year of total experience in a retail banking / small business lending analytical function, of which 5-8 in-depth years experience in hands-on quantitative analysis & statistical modeling.
- At least 3 years experience in managing a relevant team is basic.
- Very good statistical programming skills in SAS, 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
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