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A leading international bank seeks a Manager with an advanced quantitative degree to develop risk models and analytics for retail banking. The ideal candidate will have 1-4 years' experience in statistical modeling and a solid understanding of consumer finance. This role involves leading teams, ensuring compliance, and providing analytics support across global businesses, contributing to impactful decisions in the banking sector.
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 risk models (IRB, IFRS9, Custom Scorecards, and others) and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, performing decision tree-based customer segmentation & profiling analyses, assisting business implementation of sophisticated Regulatory and Scoring models, and providing analytic support to Standard Chartered businesses across the globe.
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